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/
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.
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/
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.
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.
Extend gearbox life with new components and methods 2015.04.21Sentient Science
Sentient Science hosted three different solution providers to discuss their approaches for life extension of wind turbine gearboxes. They will show their unique materials, torque dampener, and components and how these contribute to making wind turbine gearboxes last longer. The DigitalClone lifing model can take these benefits into account to validate the benefits.
The Impacts of Uprating and Derating on Wind Turbine ReliabilitySentient Science
How can you know the impact of uprating and derating wind turbines?
Today, most OEMs offer uprating packages (GE PowerUp, Vestas PowerPlus, etc.) that allow for existing wind turbines to realize higher annual power production. The impact on reliability through derating or uprating is unknown through industry standard techniques. This has led to well under 20 year life of current wind turbine gearboxes.
Investigating the Impacts of Uprating or Derating for the GE 1.5MWSentient Science
Many wind turbine operators that own GE 1.5MW turbines are considering to either uprate (using e.g. GE PowerUp) or derate their GE turbine fleet. Unfortunately, the impact on reliability, especially on the gearbox, through uprating or derating is unknown using standard industry techniques. This results in uncertainties that do not allow the operators to estimate the financial impact of uprating or derating correctly.
Demonstration on How to Extend the Life a 1.5MW Class GearboxSentient Science
Sentient Science demonstrate it’s computational prognostics and life extension solution for the GE 1.5MW class gearbox with a discussion regarding up-tower component replacement options, impact of up-rating on gearbox life, and general failure rates off warranty.
How Material Science Helps Operators with End of Warranty InspectionsSentient Science
Learn:
How your fleet is performing and learn how to develop a component watch list over the next 6 months.
Preventative maintenance strategies to extend the life of your fleet beyond 20 years.
The amount of future repairs, components or gearbox exchanges that are needed at the end of your warranty.
An enhanced view of your end of warranty options using material science-based computational testing.
Comparing Replacement Components to Extend the Life of GearboxesSentient Science
Making the right decisions on the sub-component gears and bearings in your gearbox bill of materials is critical to maximize life. However, operators, OEMs, and suppliers face uncertainty of the life extension benefits of one component versus another without heavy investment into hardware testing. This presentation will outline how Virtual Supplier Qualification can help determine the best cost/benefit between suppliers for gearbox component replacements by leveraging High Performance Computing, multi-physics prognostic models, and simulations and data analytics.
Imminent DEATH from SCADA New Product IntroductionSentient Science
An introduction of new Imminent DEATH product from SCADA.
By now, you have heard about our lifing and life extension products. Join us for a webinar to discuss how we are marrying our imminent death product that understands the last months of an asset, component life including blades, gearboxes, main bearings, pitch bearings, generators, and other rotating equipment with our current life extension products. By doing this, you can better achieve a savings of 13% revenues or, specifically for the energy industry,1 cent per kW hour.
Gerald Curtin, Vice President of Asset Answers reviews the imminent death product and outlines the benefits of integrating SCADA data with material science models.
Multiphysics - A New Generation of SimulationAltair
The application of CAE early in a product’s design cycle can make an important difference in its cost and functionality. However the level of fidelity of the design early in the cycle limits the application of many traditional CAE tools. Fortunately this is where systems modeling can be applied due to the nature of utilizing a more abstract representation of the overall system and its components.
Are You Maximising the Potential of Composite Materials?Altair
This presentation provides a summary of the talks given at Altair's Composite Design ATCx seminar which took place in the UK on 26th June, 2018. The presentation includes input from Gordon Murray Design, McLaren, Simpact and many more, describing how they are using Altair technologies to reduce composite product weight, reduce time to market, improve impact performance and much more.
FEA Based Design Optimization to Mitigate Anchor Cage Impact Damage RiskAltair
The power of Finite Element Analysis (FEA) simulations can be effectively used for failure analysis and design optimization to improve product reliability and mitigate operational risks. Expandable Liner Hangers used for wellbore construction within the oil and gas industry are complex mechanical systems that require sophisticated setting tools. A key to develop reliable setting tools is to use virtual FEA simulations to predict failure modes and verify system design behavior and performance before making costly prototypes. We can’t afford to do multiple physical prototype tests to validate designs in today’s business economics conditions.
This presentation summarizes FEA based anchor cage impact failure analysis and design optimization of a crush ring to mitigate the impact damage risk for the anchor cage subassembly that is used in an expandable liner hanger setting tool. Altair/Hyperworks and Abaqus/Explicit FEA simulation software are used to perform FEA simulations to optimize the crush ring design. Hypermesh FE mesh morphing capability helped to build various shapes of the crush ring designs quickly without creating CAD models and enabled us to run multiple FEA iterations for faster turnaround. FEA based design optimization helped us to identify design limitations, capture most of the design failure modes and then explore multiple design alternatives for the crush ring design to improve and optimize product performance before building physical (costly) prototypes.
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/
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/
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.
Extend gearbox life with new components and methods 2015.04.21Sentient Science
Sentient Science hosted three different solution providers to discuss their approaches for life extension of wind turbine gearboxes. They will show their unique materials, torque dampener, and components and how these contribute to making wind turbine gearboxes last longer. The DigitalClone lifing model can take these benefits into account to validate the benefits.
The Impacts of Uprating and Derating on Wind Turbine ReliabilitySentient Science
How can you know the impact of uprating and derating wind turbines?
Today, most OEMs offer uprating packages (GE PowerUp, Vestas PowerPlus, etc.) that allow for existing wind turbines to realize higher annual power production. The impact on reliability through derating or uprating is unknown through industry standard techniques. This has led to well under 20 year life of current wind turbine gearboxes.
Investigating the Impacts of Uprating or Derating for the GE 1.5MWSentient Science
Many wind turbine operators that own GE 1.5MW turbines are considering to either uprate (using e.g. GE PowerUp) or derate their GE turbine fleet. Unfortunately, the impact on reliability, especially on the gearbox, through uprating or derating is unknown using standard industry techniques. This results in uncertainties that do not allow the operators to estimate the financial impact of uprating or derating correctly.
Demonstration on How to Extend the Life a 1.5MW Class GearboxSentient Science
Sentient Science demonstrate it’s computational prognostics and life extension solution for the GE 1.5MW class gearbox with a discussion regarding up-tower component replacement options, impact of up-rating on gearbox life, and general failure rates off warranty.
How Material Science Helps Operators with End of Warranty InspectionsSentient Science
Learn:
How your fleet is performing and learn how to develop a component watch list over the next 6 months.
Preventative maintenance strategies to extend the life of your fleet beyond 20 years.
The amount of future repairs, components or gearbox exchanges that are needed at the end of your warranty.
An enhanced view of your end of warranty options using material science-based computational testing.
Comparing Replacement Components to Extend the Life of GearboxesSentient Science
Making the right decisions on the sub-component gears and bearings in your gearbox bill of materials is critical to maximize life. However, operators, OEMs, and suppliers face uncertainty of the life extension benefits of one component versus another without heavy investment into hardware testing. This presentation will outline how Virtual Supplier Qualification can help determine the best cost/benefit between suppliers for gearbox component replacements by leveraging High Performance Computing, multi-physics prognostic models, and simulations and data analytics.
Imminent DEATH from SCADA New Product IntroductionSentient Science
An introduction of new Imminent DEATH product from SCADA.
By now, you have heard about our lifing and life extension products. Join us for a webinar to discuss how we are marrying our imminent death product that understands the last months of an asset, component life including blades, gearboxes, main bearings, pitch bearings, generators, and other rotating equipment with our current life extension products. By doing this, you can better achieve a savings of 13% revenues or, specifically for the energy industry,1 cent per kW hour.
Gerald Curtin, Vice President of Asset Answers reviews the imminent death product and outlines the benefits of integrating SCADA data with material science models.
Multiphysics - A New Generation of SimulationAltair
The application of CAE early in a product’s design cycle can make an important difference in its cost and functionality. However the level of fidelity of the design early in the cycle limits the application of many traditional CAE tools. Fortunately this is where systems modeling can be applied due to the nature of utilizing a more abstract representation of the overall system and its components.
Are You Maximising the Potential of Composite Materials?Altair
This presentation provides a summary of the talks given at Altair's Composite Design ATCx seminar which took place in the UK on 26th June, 2018. The presentation includes input from Gordon Murray Design, McLaren, Simpact and many more, describing how they are using Altair technologies to reduce composite product weight, reduce time to market, improve impact performance and much more.
FEA Based Design Optimization to Mitigate Anchor Cage Impact Damage RiskAltair
The power of Finite Element Analysis (FEA) simulations can be effectively used for failure analysis and design optimization to improve product reliability and mitigate operational risks. Expandable Liner Hangers used for wellbore construction within the oil and gas industry are complex mechanical systems that require sophisticated setting tools. A key to develop reliable setting tools is to use virtual FEA simulations to predict failure modes and verify system design behavior and performance before making costly prototypes. We can’t afford to do multiple physical prototype tests to validate designs in today’s business economics conditions.
This presentation summarizes FEA based anchor cage impact failure analysis and design optimization of a crush ring to mitigate the impact damage risk for the anchor cage subassembly that is used in an expandable liner hanger setting tool. Altair/Hyperworks and Abaqus/Explicit FEA simulation software are used to perform FEA simulations to optimize the crush ring design. Hypermesh FE mesh morphing capability helped to build various shapes of the crush ring designs quickly without creating CAD models and enabled us to run multiple FEA iterations for faster turnaround. FEA based design optimization helped us to identify design limitations, capture most of the design failure modes and then explore multiple design alternatives for the crush ring design to improve and optimize product performance before building physical (costly) prototypes.
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/
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/
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017Justin Hayward
Next generation automation for the mining industry enabled by industry4.0 4IR technologies.
The global C4IR(TM) event series is available to franchise via www.cir-strategy.com as C4IRx.
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...Amazon Web Services
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations for AWS: Data Analytics Week at the San Francisco Loft
Scaling highly distributed cloud applications is hard. In this session, you will learn about best practices that observability teams at leading SaaS companies to use to grow their AWS applications. We will cover how they get critical insights not only into the health of their microservices but also their AWS real estate using cloud-based analytics and monitoring. In addition, we will do live demos of Wavefront integrations for AWS including serverless lambda SDKs, EKS. And finally, we will cover the latest Wavefront enhancements.
Level: Intermediate
Speakers:
Chhavi Nijhawan - Product Line Marketing Manager, Wavefront
Gordana Neskovic - Sr. Product Marketing Manager, VMware
Canadian manufacturer of standard and custom robotic crawlers and PTZ cameras. These products reduce confined space entry and provide video and photo images for report generation.
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/
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/
Cutting Aerospace Validation Costs in Half Using Computational TestingSentient Science
Learn how advances in computational testing in the aerospace industry lead to reduced cost and time for validations of new designs and modifications. Dr. Raja Pulikollu expands on the American Helicopter Society (AHS) International Vertiflite article "Testing the Digital Gearbox".
Use physics-based modeling and computational testing to:
-Reduce qualification costs associated with physical testing of design prototypes
-Accelerate product development cycle by virtual evaluations of design alternatives
-Enable life predictions for key components that are based on first principles and material science
-Expand the ability to validate design effectiveness under a wider variety of environmental and loading conditions
Comparing Bearing and Gear Options: How to Buy Bearings Based on Life, Not Ju...Sentient Science
Sentient Science’s Computational Tribologist, ElonTerrell, PhD, for a discussion on comparing bearing performance and failure rates within the new DigitalClone computational testing solution. We compared the performance of 3 unidentified bearing OEMs and display the weibull comparisons. DigitalClone can be used to compare bearings, gears, gearboxes, and drive trains within a software environment to accelerate testing and get new products to market faster. We will examine the different failure modes and look at potential changes to improve component life.
Utilizing Predictive Modeling for Bearing Supplier Decision MakingSentient Science
Machinery OEMs often have to choose between different bearing suppliers when designing a new device. Although the same bearing model from different suppliers may have the same external form factor and load rating, there are often differences in internal geometry, material quality, and surface treatment from one supplier to another that will cause the performance and expected life to vary in the field.
These slides will outline Sentient Science’s approach towards measuring and quantifying these hidden bearing parameters. We show how we combine material, geometry, and surface treatment metrics into high-fidelity predictive models which we use to help OEMs decide which bearing supplier to choose for their application.
Using the Industrial Internet to Move From Planned Maintenance to Predictive ...Sentient Science
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.
Modeling Tribological Contacts in Wind Turbine GearboxesSentient Science
Sentient Science outlines how we build a multi-physics solver for rolling contact and fatigue modeling that predicts where both long and short crack nucleate and initiate before system failure occurs.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
1- We computational model rotating components to understand the life through a material science based approach
2- this allows us to understand prior to failure where a crack is occurring and provide our customers with asset actions to extend the life of their machines
3- Different industries
4- Supplier vs. operator side
Crack initiation (lower left) -> life extension (upper left) -> 3 markets
Our Turbine model simulates the interaction between wind and elastic turbine structures
Our Turbine model simulates the interaction between wind and elastic turbine structures
Although drivetrain loads are experienced from the rotor, generator, and mechanical brake, let’s focus on the loads originated from the rotor in this slide, for simplicity purposes.
Our Turbine model simulates the interaction between wind and elastic turbine structures
Add to validation section
Overall error
Left is speed, right is torque – make into moving avg