Sentient Science provides Prognostics Health Management using the Industrial Internet and will show practical examples of driving down O&M costs by moving from Planned Preventative Maintenance (PPM) to Predictive Health Maintenance (PHM) for distributed assets. This presentation will outline how the IIC, and the practical benefits of integrating your distributed assets with prognostics, predictive models for life extension.
Future of IIoT Predictive Maintenance StudyPresenso
What is the future of IIoT Predictive Maintenance? Emory University and Presenso partner for this study of Operations and Maintenance professionals to get their perspective on this new solution.
Ecolibrium Energy provides predictive maintenance system. Predictive maintenance technologies and sensors help in smoother functionality. Visit us for more info on predictive maintenance software.
International competition, shorter product life cycles and faster technological leaps forward – these are only a few of the challenges the production of a company is facing in the 21st century. In order to survive in an environment like this, resource-efficient and secure planning of production processes are necessary to guarantee a consistent and high quality output. Unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to shortness of supplies which will eventually weaken the market position of the entire organization.
To meet these requirements organizations are increasingly focusing on the improvement of maintenance, repair and operations of their machinery. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance.
Predictive Maintenance falls under the category of the future of maintenance developments. Originally developed in the course of the “Industrie 4.0” high-tech strategy of the German government, today Predictive Maintenance represents the informatization of production processes - intelligent IT-based production systems on the path towards a Smart Factory. Through the generation and analysis of different machine data, the predictive power of the state of industrial plants is not only enhanced, but also provides the basis for an improved planning certainty as well as the efficient planning of repair and maintenance work.
This presentation introduces the concept of Machine Learning and then discusses how Machine Learning is being used in the Predictive Maintenance domain.
The evolution of machine learning and IoT have made it possible for manufacturers to build more effective applications for predictive maintenance than ever before. Despite the huge potential that machine learning offers for predictive maintenance, it's challenging to build solutions that can handle the speed of IoT data streams and the massively large datasets required to train models that can forecast rare events like mechanical failures. Solving these challenges requires knowledge about state-of-the-art dataware, such as MapR, and cluster computing frameworks, such as Spark, which give developers foundational APIs for consuming and transforming data into feature tables useful for machine learning.
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
AWEA Cognitive Analytics for Predictive FuturesSparkCognition
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations.
Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.
Future of IIoT Predictive Maintenance StudyPresenso
What is the future of IIoT Predictive Maintenance? Emory University and Presenso partner for this study of Operations and Maintenance professionals to get their perspective on this new solution.
Ecolibrium Energy provides predictive maintenance system. Predictive maintenance technologies and sensors help in smoother functionality. Visit us for more info on predictive maintenance software.
International competition, shorter product life cycles and faster technological leaps forward – these are only a few of the challenges the production of a company is facing in the 21st century. In order to survive in an environment like this, resource-efficient and secure planning of production processes are necessary to guarantee a consistent and high quality output. Unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to shortness of supplies which will eventually weaken the market position of the entire organization.
To meet these requirements organizations are increasingly focusing on the improvement of maintenance, repair and operations of their machinery. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance.
Predictive Maintenance falls under the category of the future of maintenance developments. Originally developed in the course of the “Industrie 4.0” high-tech strategy of the German government, today Predictive Maintenance represents the informatization of production processes - intelligent IT-based production systems on the path towards a Smart Factory. Through the generation and analysis of different machine data, the predictive power of the state of industrial plants is not only enhanced, but also provides the basis for an improved planning certainty as well as the efficient planning of repair and maintenance work.
This presentation introduces the concept of Machine Learning and then discusses how Machine Learning is being used in the Predictive Maintenance domain.
The evolution of machine learning and IoT have made it possible for manufacturers to build more effective applications for predictive maintenance than ever before. Despite the huge potential that machine learning offers for predictive maintenance, it's challenging to build solutions that can handle the speed of IoT data streams and the massively large datasets required to train models that can forecast rare events like mechanical failures. Solving these challenges requires knowledge about state-of-the-art dataware, such as MapR, and cluster computing frameworks, such as Spark, which give developers foundational APIs for consuming and transforming data into feature tables useful for machine learning.
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
AWEA Cognitive Analytics for Predictive FuturesSparkCognition
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations.
Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.
Have you navigated your predictive maintenance maturity level?
Navigating the maturity level of your predictive maintenance model could help you identify the new requirements of your business to utilize the data more effectively. Check out the post to explore more about predictive maintenance maturity level and how you can improve on the levels to increase your operational effectiveness.
MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.
Smart Grid Operational Services: Utilities Mobile IT AdoptionCapgemini
Continuing deregulation has made the utilities industry more price competitive. The transmission and distribution infrastructure is aging and often well past its planned service life.
Yet, the industry’s customers are demanding 100% availability, greater environmental awareness, more accurate billing and quick fault resolution. Government and industry compliance regulations are also becoming stricter.
To meet these challenges and be better prepared for the unexpected, companies are increasingly adopting mobile solutions as a way to further control costs, improve productivity and make better decisions throughout their organizations.
This report briefly reviews the state of mobile adoption among utilities and outlines several high return mobilization areas for managers to consider. It further discusses criteria for selection of mobile solutions and provides some leading practices for their implementation within the utility industry.
A survey by Schneider Electric in the US revealed that predictive maintenance services can lead to 25% reduction in cost. Learn about industrial IoT framework that enables PdM
Machine learning’s impact on utilities webinarSparkCognition
Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities.
The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future.
Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs.
Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure.
Join this webinar to learn about:
- Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved.
- How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs.
- How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues.
Predictive maintenance helps diagnose the condition of an asset to estimate when maintenance should be performed. It is considered to be one of the driving forces for improving productivity.
Emergence of ITOA: An Evolution in IT Monitoring and ManagementHCL Technologies
IT operations analytics(ITOA) plays key role by providing intelligence that makes business sense out of the real-time data being generated by infrastructure components and applications.
This survey was conducted in January 2016 among 400 U.S. facility leaders in establishments including data centers, commercial and industrial buildings, retail, healthcare, education, government and other building environments. Respondents have responsibility related to purchasing energy and technology solutions, and their biggest responsibilities included facility management and operations management. Facility managers are increasingly adapting their building maintenance strategies in response to the Internet of Things (IoT).
The article looks at how new technologies will lead to an increasingly integrated approach within the O&G sector, siting specifics such as the IoT and robotics & the radical impact they will have on optimising productions within the sector.
GE Cimplicity는 이전까지 불가능했던 수준의 운영 인사이트를 제공하여 더 나은 제어와 시각화를 통해 생산성을 높이고 비용을 절감할 수 있습니다.
Enabling unprecedented insight into your operations, CIMPLICITY delivers superior control and visualization
to increase your productivity and reduce costs.
ManpowerGroup in cooperation with Applixure can provide IT environment analytics services to clients across Europe to help improve the efficiency of their IT environment.
Industries around the world are undergoing a period of rapid transformation and rethinking the way that critical assets are operated. One way plant operators are maximizing the value of their equipment is through the adoption of condition-based maintenance (CBM), which promises to minimize unexpected failures, maximize use of resources, and institutionalize knowledge as key personnel retire.
Continue to learn the real advantages of implementing CBM to track asset health in real-time and avoid unexpected equipment failures.
If you would like to see the full recording, continue with the link below:
http://bit.ly/2Yo7ML4
Avoiding The Common Pitfall in DX ExecutionYokogawa1
Artificial intelligence (AI), machine learning (ML) and digital twin are the decision support tools of the century. They have now become synonymous with digital transformation. On paper and at face value they deliver phenomenal value. But too many people ignore the hard data plumbing work that needs to precede any of these kinds of initiatives. The AI, ML and digital twin engines can be working fine, but still output poor answers, or not perform at the speed which they’re meant to. This is usually because the fundamental readiness step has been underestimated and not undertaken fully. With reference to various industry case studies, this presentation will explore the fundamental readiness steps of any DX initiative needed to be taken as well as several incremental “quick wins” to score on your way to a more advanced data landscape. The presentation will also opine on some consequences when the readiness step is insufficiently addressed.
Using Grid data analytics to protect revenue, reduce network losses and impro...Schneider Electric
Currently electricity losses are a significant issue for utilities totalling an estimated annual costs of over $200 billion and electricity theft is a worldwide problem but which varies depending on regions. These losses also have environmental impacts causing 1.200 M tonnes of CO2 emissions and wasting up to 8% of generation capacity annually.
Applying a New Generation of Prognostics Across the Industrial InternetSentient Science
How is the Industrial Internet impacting corporate productivity today and in the future?
These slides will present on how the Industrial Internet creates a $7T opportunity by connecting people, advanced analytics and progressive machines. Learn about Industrial Internet, new killer applications like DigialClone Live, and how these processes come together to promote corporate strategy. Executives and strategic planners responsible for designing, testing, or operating rotating equipment more efficiently would be interested in watching the recorded presentation.
Have you navigated your predictive maintenance maturity level?
Navigating the maturity level of your predictive maintenance model could help you identify the new requirements of your business to utilize the data more effectively. Check out the post to explore more about predictive maintenance maturity level and how you can improve on the levels to increase your operational effectiveness.
MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.
Smart Grid Operational Services: Utilities Mobile IT AdoptionCapgemini
Continuing deregulation has made the utilities industry more price competitive. The transmission and distribution infrastructure is aging and often well past its planned service life.
Yet, the industry’s customers are demanding 100% availability, greater environmental awareness, more accurate billing and quick fault resolution. Government and industry compliance regulations are also becoming stricter.
To meet these challenges and be better prepared for the unexpected, companies are increasingly adopting mobile solutions as a way to further control costs, improve productivity and make better decisions throughout their organizations.
This report briefly reviews the state of mobile adoption among utilities and outlines several high return mobilization areas for managers to consider. It further discusses criteria for selection of mobile solutions and provides some leading practices for their implementation within the utility industry.
A survey by Schneider Electric in the US revealed that predictive maintenance services can lead to 25% reduction in cost. Learn about industrial IoT framework that enables PdM
Machine learning’s impact on utilities webinarSparkCognition
Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities.
The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future.
Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs.
Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure.
Join this webinar to learn about:
- Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved.
- How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs.
- How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues.
Predictive maintenance helps diagnose the condition of an asset to estimate when maintenance should be performed. It is considered to be one of the driving forces for improving productivity.
Emergence of ITOA: An Evolution in IT Monitoring and ManagementHCL Technologies
IT operations analytics(ITOA) plays key role by providing intelligence that makes business sense out of the real-time data being generated by infrastructure components and applications.
This survey was conducted in January 2016 among 400 U.S. facility leaders in establishments including data centers, commercial and industrial buildings, retail, healthcare, education, government and other building environments. Respondents have responsibility related to purchasing energy and technology solutions, and their biggest responsibilities included facility management and operations management. Facility managers are increasingly adapting their building maintenance strategies in response to the Internet of Things (IoT).
The article looks at how new technologies will lead to an increasingly integrated approach within the O&G sector, siting specifics such as the IoT and robotics & the radical impact they will have on optimising productions within the sector.
GE Cimplicity는 이전까지 불가능했던 수준의 운영 인사이트를 제공하여 더 나은 제어와 시각화를 통해 생산성을 높이고 비용을 절감할 수 있습니다.
Enabling unprecedented insight into your operations, CIMPLICITY delivers superior control and visualization
to increase your productivity and reduce costs.
ManpowerGroup in cooperation with Applixure can provide IT environment analytics services to clients across Europe to help improve the efficiency of their IT environment.
Industries around the world are undergoing a period of rapid transformation and rethinking the way that critical assets are operated. One way plant operators are maximizing the value of their equipment is through the adoption of condition-based maintenance (CBM), which promises to minimize unexpected failures, maximize use of resources, and institutionalize knowledge as key personnel retire.
Continue to learn the real advantages of implementing CBM to track asset health in real-time and avoid unexpected equipment failures.
If you would like to see the full recording, continue with the link below:
http://bit.ly/2Yo7ML4
Avoiding The Common Pitfall in DX ExecutionYokogawa1
Artificial intelligence (AI), machine learning (ML) and digital twin are the decision support tools of the century. They have now become synonymous with digital transformation. On paper and at face value they deliver phenomenal value. But too many people ignore the hard data plumbing work that needs to precede any of these kinds of initiatives. The AI, ML and digital twin engines can be working fine, but still output poor answers, or not perform at the speed which they’re meant to. This is usually because the fundamental readiness step has been underestimated and not undertaken fully. With reference to various industry case studies, this presentation will explore the fundamental readiness steps of any DX initiative needed to be taken as well as several incremental “quick wins” to score on your way to a more advanced data landscape. The presentation will also opine on some consequences when the readiness step is insufficiently addressed.
Using Grid data analytics to protect revenue, reduce network losses and impro...Schneider Electric
Currently electricity losses are a significant issue for utilities totalling an estimated annual costs of over $200 billion and electricity theft is a worldwide problem but which varies depending on regions. These losses also have environmental impacts causing 1.200 M tonnes of CO2 emissions and wasting up to 8% of generation capacity annually.
Applying a New Generation of Prognostics Across the Industrial InternetSentient Science
How is the Industrial Internet impacting corporate productivity today and in the future?
These slides will present on how the Industrial Internet creates a $7T opportunity by connecting people, advanced analytics and progressive machines. Learn about Industrial Internet, new killer applications like DigialClone Live, and how these processes come together to promote corporate strategy. Executives and strategic planners responsible for designing, testing, or operating rotating equipment more efficiently would be interested in watching the recorded presentation.
Infographic - Digitizing Energy: Unlocking business value with digital techno...Accenture the Netherlands
The energy industry is undergoing an unprecedented period of transition. How can digital technologies help companies disrupt existing markets and penetrate new ones?
Most Significant Trends Impacting Global Supply Chain and Manufacturing Teamsbobferrari823
Within the next five years, five converging mega-trends will impact global supply chain and manufacturing teams. This presentation reviews these trends and offers conclusions as to their impact.
Want to watch the video of this talk & hear about free speaker hangouts?
Hop over here: http://bit.ly/IoTForum16Talks We will keep you up to date with new talks. We will never sell your email address and you can unsubscribe at any time.
Andy Stanford Clark from IBM speaks at the BLN IoT Forum 2016. It's All About the Data.
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
--
Many safety leading indicators fall short of helping your account for areas of risk within your organization. The best leading indicator of the health of your safety program and predictor of safety risk, is safety culture. Since measuring safety culture is an intricated matter, we will discuss during this presentation an approach to measure safety culture, through the Safety Culture Index (SCI). This presentation will elaborate on how we identify the aspects that measure the SCI in your organization as well as to help the safety professional to understand, interpret, and influence SCI trends.
When Downtime Isn’t an Option: Performance Optimization Analytics in the Era ...CA Technologies
In the era of the customer, preventing system downtime and fixing performance issues before they occur is more critical than ever. Discover how the power of IT analytics can help you deliver improved customer experience through root cause analysis and actionable insight to prevent problems before they occur and resolve them faster if they do. See how you can correlate data from multiple sources for real-time prediction and increased insights into the behavior of your mainframe systems and databases. Whether you are currently doing IT analytics manually, using a variety of tools, an expert or a novice, you won’t want to miss this informative session and learn about new analytics innovations that can help you reduce costs, increase operational efficiency and delight your customers.
For more information, please visit http://cainc.to/Nv2VOe
Challenges & Application In Industrial IoT by Sachin Pukale, machinepulseSachin Pukale
Spoke about 'Challenges and Application in Industrial #IoT' at International Conference on Computer Communication and Informatics organized by Shri Shakti Institute of Technology, Coimbatore & IEEE.
Digital Transformation through Product and Service Innovation - Session Spons...Amazon Web Services
Today large enterprises are under pressure to innovate faster than ever, drive down costs, and deliver increased value to their organisations through more responsive and flexible IT. Organisations that are shifting to a data-driven, insight-powered culture will be in the best position to defend, differentiate and disrupt in their respective industries, potentially expanding their business with new products and revenue sources. Learn how some leading companies are leveraging data – from IoT sources, social sources, enterprise, partners, competitors, and consumers – to unlock new sources of insight.
Speaker: Amit Bansal, Digital Delivery & Analytics Lead, APAC, Accenture
Similar to Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance (20)
DigitalClone for Engineering Supporting Business Initiatives of Rotorcraft OE...Sentient Science
Sentient Science’s DigitalClone for Engineering Software is used by aircraft OEM, Suppliers and Operators to evaluate new and upgrade designs through materials science-based computational testing. The software is used throughout the design cycle to life critical components within the drivetrain. DigitalClone for Engineering enables certified digital models to be used by aircraft operators for asset management and supply chain planning and demand forecasting by simulating the models under multiple operational profiles.
The economics of reducing the cost of energy by 13% revenuesSentient Science
At what “speed” is your digitalization effort? There is no dispute, digitalization will play a key role in improving the sustainability of renewable energy sources through efficiency. The question remains – Where are you? While the industry has embraced the importance, water cooler conversations continue - How to monetize the true value of the data from digitalization?
The webinar outlines:
• How digitalization is applied across all corporate business units: asset management, operations management, risk management and supply chain management to reduce the cost of energy by up to 13%
• An industry operator case study on monetizing your digitalization efforts and understand the true ROI
• A digitalization value statement to enable operations management can provide a short-term watch list from 0-12 months enabling early detection prior to consequential damage beyond an operator's current capabilities – attributes to 2-3% of cost avoidance or cost savings.
Investigating Microstructural Alterations Leading to White Etch Cracks (WEC's...Sentient Science
This webinar outlines Sentient's development on their White Etching Crack capabilities to current materials-based prognostics life prediction models to better predict wind turbine gearbox life.
The formation of white etching cracks (WEC's) in bearings are known to be one of the major failure modes associated with gearbox failure. WEC's can casue premature failures in rolling element bearings occuring as early as 1-20% of the calculated L10 life.
According to the National Renewable Energy Laboratory's (NREL) gearbox failure database, 64% of gearboxes failed due to bearings and 25% due to gear failures. These failures are causing increased downtime and costly repairs.
The webinar outlines microstructrual alterations detected in LSIS and HSIS bearings and how microstructural alterations impact damage in gearboxes.
Moventas GE 1.5 Extra Life Gearbox Achieves 4x LifeSentient Science
The presentation outlines the upgrades Moventas made on the GE 1.5 Extra Life gearboxes.
Sentient Science validated the technology advances and life extension claims for the owner operator community and quantified the improvements in performance, durability and reliability.
The computational testing showed an overall life improvement by a factor of 4x. The life extension achieved was due to improvements made to the case carburized ring gear, integrated planet gear bearings, high speed stage bearings, tooth surface roughness, and material specification upgrades in both bearings and gears.
View a recording of this webinar at:
http://sentientscience.com/resource-library/videos/webinar-recordings/moventas-ge-1-5-extra-life-gearbox-achieves-4x-life/
Today, Wind Turbine OEMS utilize design load cases for the design and certification of wind turbines. These load cases are applied to ensure that turbines operate in a stochastic environment for at least 20 years.
However, reliability analysis should not stop at the design stage. Once a turbine is commissioned, consequent reliability analysis should also be conducted in order to understand how long a turbine will truly last at an installed location with the exposed environmental conditions.
View the Webinar Recording at:
http://sentientscience.com/resource-library/videos/webinar-recordings/wind-load-analysis-drivetrain-reliability/
According to a report by Windpower Engineering & Development, the cost to repair main bearings is one of the highest compared to other turbine systems ranging from $150,000 to $300,000. As fielded turbines age, the aggregated downtime has increased to more than 20,000 hours.
The presentation features:
- New capabilities in the DigitalClone Live software that predict early wear initiation in the main bearing raceways and rollers.
- How to understand the current health of the main bearing in a particular asset to mitigate damage prior to failure.
- How to reduce the cost of repair, currently ranging from $150K - $300K for each occurrence, and reduce the amount of downtime.
View the Webinar Recording at:
http://sentientscience.com/resource-library/videos/understanding-main-bearing-failures-mitigating-a-150k-300k-om-cost-2/
Take Control of Repowering – Be the One to Choose What’s Inside of Your MachineSentient Science
If you are considering repowering your wind turbines to take advantage of the PTC extension, we can tell you the projected life of your new gearboxes at a subcomponents level.
Learn How:
- The Importance of the Bill of Materials for your Individual Assets
- How to avoid costly downtime and loss of revenue with your newly repowered machine
- How to decide what gearbox and critical subcomponents to choose to optimize each asset
- The impact each individual component has on the life and power output of your repowered asset
View Webinar at:
http://sentientscience.com/resource-library/videos/take-control-repowering-one-choose-whats-inside-machine/
Assessing the Impact of Surface Treatment Solutions to Extend Asset LifeSentient Science
An industry case study that details Sentient’s DigitalClone® Lifing evaluation on the impact of REWITEC®’s additive DuraGear® W100 application.
Learn How:
- To reduce your COE and take control of your wind assets pro forma
- Lubrication additives effect the life of your wind turbine drivetrain
- Surface finish extends gearbox life
- To maximize asset value with lubrication upgrades
View the Webinar at:
http://sentientscience.com/resource-library/videos/assessing-impact-surface-treatment-solutions-extend-asset-life/
This is a unique webinar designed specifically for our customers that want to know more about the validation of our model. We put together this slide deck and discussion together to solely review our validations in the wind industry.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
1. Using the Industrial Internet to Move from Planned
Maintenance to Predictive Health Maintenance
2. Todays Presenters
Ed Wagner
Vice President,
Customers and Solutions
Sentient Science
ed@sentientscience.com
Lynne Canavan
Program Director,
Industrial Internet Consortium
canavan@iiconsortium.org
Stephen Steen
Head of Industrial Internet
Services,
Sentient Science
ssteen@sentientscience.com
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
3. Overview
1. Overview of the IIC and the business problem IIC solves
2. Sentient on the Industrial Internet – Prognostics and Making
Lifing Assessment for Industrial Equipment
3. Renewables Business Case and Outcomes – Moving from
PPM to PHM
4. Questions and Summary
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
4. The Industrial Internet
Industrial Internet:
An internet of things, machines,
computers and people…
enabling intelligent industrial
operations…
using advanced data analytics
for transformational business
outcomes.
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
5. The Industrial Internet is Leading the Next
Economic Revolution
GDP data extracted from the Futurist 2007
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
6. The Impact of the Industrial Internet
General Electric estimates that the Industrial Internet could add $10 - $15 trillion to the global GDP over the next 20 years.
McKinsey Global Institute estimates an annual economic impact of $2.7 trillion to $6.2 trillion by 2025.
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
7. Yet There are Current Roadblocks to
Widespread Adoption
The Industrial Internet:
A $32 trillion opportunity
Connectivity
Technology
Standards
Research Academia
Systems
Integration
Security
Government
Big Data Industries
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
8. The IIC: Things are coming together
Things are coming
together.
Technology
Standards
Research Academia Systems Integration
Security
Government
Big DataConnectivity Industries
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
9. Industrial Internet Consortium
Mission
To accelerate growth of the Industrial Internet by coordinating
ecosystem initiatives to connect and integrate objects with people,
processes and data using common architectures, interoperability
and open standards that lead to transformational business
outcomes.
• Launched in March 2014 by five founding members:
Community.
Collaboration.
Convergence.
The IIC is an open, neutral “sandbox” where industry,
academia and government meet to collaborate, innovate
and enable.
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
10. Our Objectives
• Drive innovation through the creation of new industry use cases and testbeds for
real-world applications;
• Enable interoperability by defining and developing the necessary reference
architecture and frameworks
• Influence the global development standards process for internet and industrial
systems;
• Build confidence around new and innovative approaches to security.
• Facilitate open forums to share and exchange real-world ideas, practices, lessons,
and insights;
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
11. IIC Members
11
IIC Founder Companies
www.iiconsortium.org
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
12. Model-based, multi-physics based
prognostics computational technologies
and services
Our applications help extend the remaining
useful life (RUL) of new and existing
mechanical systems
The newest prognostics health
management (PHM) application for
condition-based maintenance (CBM)
Sentient Science is Based on Three
Fundamental Capabilities
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
13. DigitalClone Prognostic Validations
Rotorcraft
• NASA Spur Gear Validation
• “Large Bearing Company” Bearing Validation
• Apache Spiral Bevel Gear Validation
• Actuator Pump Cam Bearing Validation
• Rotorcraft Super Gear Validation
• Blackhawk Spline Fretting Fatigue Validation
• Navy Elastomeric Bearing Validation
Wind Turbine
• Clipper Wind Turbine GBX Validation
• GE 1.5 Wind Turbine GBX Validation
Automotive, Mining & Others
• Planetary Gear System Validation
• Differential Assembly – Spiral Bevel Validation
• Axle Shaft Bearings Validation
• Automotive Structural Materials Validation
• Reduction/Axle Hypoid Gearing Validation
• Mining Sag Mill Gear Validation
• Hip Implant Wear Validation
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
14. DigtialClone®
Nucleation & Propagation
<12 months1-3 years3-5 years+5 years
Using the IndustrialInternet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
15. Prognostics on the Industrial Internet
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Step 1: Predict the performance
and health of your assets,
components and systems from
0-6 years out.
Step 2: Acquire
operational data, per
fielded asset using your
data system and
networks, to tailor service
for each individual asset.
Step 3: Confirm
prognostic accuracy
through advanced
processing, alerts, and
reporting tools.
Step 4: Control or optimize
assets life through, trade-off
studies, automation,
optimization.
16. Serial
Number
Model
Part
Number
Fleet
Model
Sentient - 3rd Generation
Life Model
2nd Generation
Life Model
Process
NO CAPEX
$31,000
8 weeks
$3.5M CAPEX
$323,000
1 year
System Model with 3-5 Top Failure Component Models
Zero
$100 in compute time
How to build Life model Cost & Time Value Prop comparison
$20,500
Interpreting results difficult
17. What’s the Business Problem to Solve
• Owner/Operators of industrial Equipment trying to assess financial
risk and liabilities associated with off warrantee assets
– “How long will it really take me to get usable information regarding my
fleet and individual assets?”
– How long will these assets produce value?
– Will my O&M costs outweigh my financial pro forma?
– How can I improve budgeting over 2-5 years?
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
18. What’s the Business Problem to Solve?
• OEMs of industrial Equipment trying to assess financial risk and
liabilities associated with their warrantees
– How soon can I find out what my real risk is for assets under warrantee?
– What’s the right balance between reconfigure vs. replacement?
– What’s my downside of not providing competitive warrantee services?
– How do I budget to service customers today and into the future?
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
19. Tim
e
Conditio
n
Extend the Remaining Useful Life (RUL) through Prognostics
®
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
20. Manage the Fleet Through Financial
Optimization
Year: 2014
Today
Year: 2011
3.7%
As-Is Failure Profile
Optimized Condition
Reduction in % of
Failures
Sentient’s services predict the
true baseline and impact of
maintenance and operational
changes.
Life extension or increased AEP
by quantifying the impact of:
- Wind conditions
- Lubrication change
- Turbine re-rating
- Uptower replacements
- Remanufacturing
- Automated spare parts
management
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
21. “As Is”
Quantify Impact of: Lubrication change, up-tower component replacement, partial de-rating, etc.
“To Be”
Years Until Gearbox FailureYears Until Gearbox Failure
PercentageofFleetFailure
PercentageofFleetFailure
Linking Fleet Level Performance to
Component Level Performance
Prognostics allows you to quantify “what-if” scenarios to extend RUL
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
22. Business Impact of Prognostics
• Prognostics cut cost of the Big Data need to maintain assets
– Prognostics vs. Diagnostics
• Dramatically Reduces Time to Value for Asset Health Information
– Lifing predictions within 3 months
– Impact on new customer acquisition for OEM
• Battle for the Aftermarket – will the Operator or the OEM dominate
the aftermarket
– Reconfiguration (Owners) vs. Redesign (OEMs)
– “What-if” simulations creating significantly more competition
March 16, 2015
The Financial Impact of Extending Asset Life
23. Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Sentient Science and the Industrial Internet Wave
General Electric estimates that the Industrial Internet could add $10 - $15 trillion to the global GDP over the next 20 years.
McKinsey Global Institute estimates an annual economic impact of $2.7 trillion to $6.2 trillion by 2025.
24. Industrial Internet
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
25. Challenge for Wind Owner/Operators
Failures higher than originally planned during site development.
Assumptions used:
– 100 WTG’s
– Loan – 18 yr tenor
Approximately 50% of the total cash
to equity comes in the last 5 years
10.00%
10.50%
11.00%
11.50%
12.00%
12.50%
13.00%
13.50%
14.00%
14.50%
15.00%
0.5 1 1.5 2
$40,000
$50,000
$60,000
$70,000
$80,000
$90,000
$100,000
20YearIRR%
CashFlowtoEquity,Yrs15-20($,000)
GBX Failure / WTG
Cash Flow to Equity Years 15-20 20 year IRR
Budgeted Actual
*Owners are looking to gain
control of cost
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
26. Original Pro Forma O&M Plan
Planned Preventative Maintenance (PPM)
Pre-planned based on usage or time.
Pro: Almost always
ensures proper operation
Con: Expensive and
doesn’t address outlier
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Cannot predict future risk or solutions to reduce it
27. Improved O&M - First Attempt
Condition Based Maintenance (CBM)
Based on known need for maintenance.
Pro: Reduced cost &
improved reliability
Con: High upfront cost,
monitoring cost &
produces false positives
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Can only predict short term failure, cannot provide
solutions to reduce risk
28. O&M Solution – Path Back to Pro Forma
Prognostics and Health Management (PHM)
Predicts future failure to plan and mitigate risk.
Benefits:
1. Little to No Monitoring
2. Less Sensors
3. Remaining Useful Life (RUL)
Extension
4. Risk Mitigation
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Can predict risk years into the future and provide ways
to reduce risk through life extension
29. DigitalClone Live
Asset Ranking Default Most-at-Risk, Sortable, Filterable …
Asset Map View Risk Level,
Interactive, Navigable
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
30. Component Risk Failure risk ranking down to the component
level for O&M planning (e.g. uptower vs crane)
DigitalClone Live – Component Level
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
31. Todays Prognostic Reports
1. “As Is” failure rates at the fleet, site, critical component levels
– Watch lists, borescopeing, inventory and supply chain management
– Budgeting
2. Gearbox replacement schedules for forecasting
3. “To-Be options to extend life:
– Component replacement
– Lubrication and additive impact on life
– Duty cycle changes to improve life
– “What-if” simulations before taking action
You Can “See” What Diagnostics Can Not Yet See
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
32. Asset Prognostics over the Industrial Internet
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Predict initial WTG
risk for each
individual asset
Acquire operational
data (SCADA,
vibration, etc.) from
individual WTG
Confirm the WTG
prediction to the data to
ensure it is operating as
predicted
Control and optimize the
WTG through re-rating,
up-tower component
replacement
33. Example Prognostics: ROI Optimization
ROI Optimization All trade-offs based on ROI at the
individual asset level/group, maximizing ROI for the fleet.
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
34. 1.5mw WTG – 500 Units
$2,000,000.00
$7,000,000.00
$12,000,000.00
$17,000,000.00
$22,000,000.00
$27,000,000.00
$32,000,000.00
$37,000,000.00
$42,000,000.00
$47,000,000.00
$52,000,000.00
$-
$5.00
$10.00
$15.00
$20.00
$25.00
$30.00
6 7 8 9 10 11 12 13 14 15 16
AS-IS MW/Hr Cost TO-BE MW/Hr Cost
AS-IS Yearly Cost TO-BE Yearly Cost
MW/Hr
Cost
• Through life extension,
failures rates can be
managed and reduced
• Sentient can provide a
significant improvement
each year to the failure
rates
5 years, $19M savings, 500% ROI
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
35. Business Impact
1. Customer 1: Failure rate reduced by +50%
– Customer budgeted and planned or 20+ gearboxes for 2014
– Through up-tower replacements, derating, etc. actual failures rates reduced to <10
– $5,000,000 cost reduction in budgeting
2. Customer 2: No failures, correctly predicted next gearbox failure
– Was able to plan and prepare for gearbox failure in 2014
– 2-5 year PHM budgetary plan
3. Customer 3: Identified and confirmed 8 gearboxes on top 20 list not
previously known or expected
– 90% correlation with borescope conducted on top 20 gearboxes for exact component
of failure
– Crane and service optimization at $70K per crane service, reduced unplanned
maintenance
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
36. Applying Prognostics on the Industrial
Internet
Supply Side Optimization
Using Prognostics
Inventory and Supply
Chain Optimization
Fleet Process
Optimization
O&M Improvements
SMART
GRID
1
2
3
4
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
37. Summary
• Sentient’s DigitalClone Live powers the move to Predictive Health
Management (PHM) using the Industrial Internet
– DoD, Industrial, Energy Use Cases
– Demonstrations on request
• IIC is the central organization for pooling technologies, security,
architectures, test beds for learning and leveraging best practices
– www.industrialinternetconsortium.org
– March 24-26, 2015 - Reston, Virginia USA
– July 15-17, 2015 – Niskayuna, New York USA
– September 14-17, 2015 – Barcelona, Spain
– December 7-14, 2015 - La Jolla, California, USA
Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance
March 11, 2015
Editor's Notes
Ed is our Vice President of Customers and solution located in Boston.
Ed’s built 6 different software companies and was part of the team at Parametric Technology, Rasna and Ansys. His background is in space sciences and astrophyics. Ed has spoken at many conference including daratech, ASME, SME, and STLE.
At Sentient, Ed’s job is to build our customer base, make our customer successful and to manage the product roadmap with Dr Nathan Bollander our Chief Scientist.
No one else can do this.
Can’t know life unless you know nucleation, initiation, and propagation.
Only way to know individual asset health status.
Intelligent Machines
Connect the world’s machines, facilities, fleets and networks with advanced sensors, controls and software applications
Advanced Analytics
Combines the power of physics- based analytics, predictive algorithms, automation and deep domain expertise
People at Work
Connecting people at work or on the move, any time to support more intelligent design, operations, maintenance and higher service quality and safety
Diagnostics
Pic of owner – O&G plant
Broadwind pictures
Picture of OEM product – 1 gearbox or gas turbine
Change spelling on the graph or prognostics
Life extension by quantifying the impact of:
- High wind conditions
- Lubrication change
- Partial de-rating
- Up-tower replacements
- Remanufacturing
99% in 3-4 years
Corrective maintenance (CM) costs/events are much higher than Preventive maintenance (PM)
Remove numbers on image
Logo
Screen shot of Sentient reports – worst to best
Intelligent Machines
Connect the world’s machines, facilities, fleets and networks with advanced sensors, controls and software applications
Advanced Analytics
Combines the power of physics- based analytics, predictive algorithms, automation and deep domain expertise
People at Work
Connecting people at work or on the move, any time to support more intelligent design, operations, maintenance and higher service quality and safety
Diagnostics