Power-MI (https://power-mi.com) is a cloud based solution that allows you to manage predictive maintenance in a very easy way. All technologies on a single platform. Users get faster reports, live KPIs, data security and multi-language interface.
★ Perform assets visual inspections on mobile devices
★ Work offline
★ Automatic cloud reporting
★ Standard inspections
★ Inspectors management
★ Risk prevention
★ Live KPIs
★ Photo acquisition and synchronization
★ Connect with your CMMS
What Drones Can Do for Agriculture by Alexandr Stepanenko, Technical Account Manager, ELEKS.
Alexander gives an overview of the technological side of drones, its costs and technological advances.
Rajiv Associates is a leading provider of total automation and electronic security solutions in India. The document discusses Rajiv's strengths including its large size, technology base, nationwide presence, and over 2000 installations. It then outlines a proposed multi-level security system for a religious complex including perimeter protection, access control, and CCTV surveillance. Rajiv claims expertise in security analysis, design, installation, integration, and long-term support and maintenance of customized solutions.
AI (EDGE) Camera Solution: OEM Tier 1 supplierShawn Lee
Tier 1 OEM AI (EDGE) Camera solution provider and provide a solution for a fleet market with a competitive cost and quality. Contact: shawn.lee@aimatics.ai
GE Oil & Gas PII - Pipeline Solutions
ThreatScan™ Real-time monitoring for threats,and impacts on pipelines
By: Ghufran Ahmed Bala
Application Engineer
MAQ International
Proxima Systems - Corporative Presentation [EN]ProximaSystems
Proxima Systems is a leading manufacturer of innovative solutions, for monitoring and remote management of machinery, facilities and buildings, which facilitate achieving maximum efficiency and profitability, through automatic continuous measurement of all factors on which the result depends.
★ Perform assets visual inspections on mobile devices
★ Work offline
★ Automatic cloud reporting
★ Standard inspections
★ Inspectors management
★ Risk prevention
★ Live KPIs
★ Photo acquisition and synchronization
★ Connect with your CMMS
What Drones Can Do for Agriculture by Alexandr Stepanenko, Technical Account Manager, ELEKS.
Alexander gives an overview of the technological side of drones, its costs and technological advances.
Rajiv Associates is a leading provider of total automation and electronic security solutions in India. The document discusses Rajiv's strengths including its large size, technology base, nationwide presence, and over 2000 installations. It then outlines a proposed multi-level security system for a religious complex including perimeter protection, access control, and CCTV surveillance. Rajiv claims expertise in security analysis, design, installation, integration, and long-term support and maintenance of customized solutions.
AI (EDGE) Camera Solution: OEM Tier 1 supplierShawn Lee
Tier 1 OEM AI (EDGE) Camera solution provider and provide a solution for a fleet market with a competitive cost and quality. Contact: shawn.lee@aimatics.ai
GE Oil & Gas PII - Pipeline Solutions
ThreatScan™ Real-time monitoring for threats,and impacts on pipelines
By: Ghufran Ahmed Bala
Application Engineer
MAQ International
Proxima Systems - Corporative Presentation [EN]ProximaSystems
Proxima Systems is a leading manufacturer of innovative solutions, for monitoring and remote management of machinery, facilities and buildings, which facilitate achieving maximum efficiency and profitability, through automatic continuous measurement of all factors on which the result depends.
Safety Changer Inspections is a powerful solution that makes doing inspections easier than ever before:
- Perform inspections using your smartphone or tablet
- Now everyone can do inspections
- Anywhere, anytime, even offline
- Easily add photos, videos and documents as evidence
- Realtime insight in inspection-results, focus on findings
- Automated reporting of non-conformities
- Integrated action tracking
- RFID- and NFC-support
- Analyse results using the complete analytics dashboard
This document discusses automation and its history. It describes how automation has progressed from manual control operated by humans, to pneumatic control using air valves and switches, to hard-wired logic and relay-based control. Next, electronic control using logic gates replaced relays, offering reduced space and energy savings. Programmable logic controllers (PLCs) then emerged in the 1970s, allowing control through software programming rather than physical wiring. PLCs offer advantages like reduced space, lower costs, and easier maintenance compared to previous automation methods. The document also outlines common field instruments like temperature, pressure, and flow sensors that are used for automation in industrial processes.
SMART RODENT CONTROL eMitter - The standard for security Raymond Harfouche
Smart Rodent Control eMitter - Setting the standard
-Zero chance of poisoning.
-Reports and history anytime.
-AIB & IFS recommended - Perfect for audits
-Control & protect your location the safest way possible.
Next Generation Intelligent APM: Pain Points, Trends and SolutionsYuchen Zhao
This document discusses the pain points of traditional application performance monitoring (APM) and trends toward next generation intelligent APM. It outlines four main pain points: increasing app complexity, needing to investigate multiple data sources across teams, data volumes being too large to effectively monitor, and heterogeneous APM data types. It then presents a vision for next generation APM that leverages unified monitoring, machine learning to extract insights from massive APM data, and moves from reactive to proactive monitoring through predictive analytics and anomaly detection. Examples of how machine learning could help with tasks like log analysis, smart alerting, root cause analysis and data summarization are provided.
This presentation discusses industrial automation and its future scope. It provides an overview of the industrial revolution and need for automation to increase productivity and reduce errors. It describes SCADA systems which are used to monitor and control industrial plants. Examples of industries that use SCADA include cement plants, car manufacturing, and power grids. The presentation also discusses using Raspberry Pi computers to enable learning programming. It outlines future areas of industrial automation like MEMS, nanotechnology, and machine-to-machine networking. It addresses whether industrial automation is feasible in India and challenges of Industry 4.0.
The document proposes a lidar-based perimeter intrusion detection system (PIDS) with the following key points:
1. It uses lidar sensors that can scan 360 degrees and detect objects up to 300 meters away to monitor facility perimeters.
2. An integrated management platform analyzes lidar data and video surveillance to detect, track, and classify intrusions in four phases - detection, alert, intrusion, and tracking.
3. The solution is presented as more accurate, cost-effective, and weather-resistant than traditional security systems. It can identify intruders, predict intrusion paths, and automatically respond through configured workflows.
Sefeko is a real-time guard monitoring system developed in South Africa for use in South Africa. It provides reliable hardware and cloud-based software to monitor security guards and generate reports. The easy to use system ensures guards take action and provides an audit trail, while allowing supervisors to monitor any number of guards. Sefeko offers 24/7 support and nationwide distribution with no long-term contracts.
Guard Tracker is a guard tour monitoring system that uses biometric machines placed at points to be visited by guards. The biometric machines are connected via a local area network (LAN). The software allows for designing and assigning guard tours. It generates missed point reports and reports on guards' effective working hours. The system is provided by Sara Electronics in Pune, India.
The document discusses the implementation of a real-time condition monitoring process at Anglo American Copper's Collahuasi Mine. It defines the key elements of technology, people, and processes that must be considered. For technology, it discusses the data network, data collectors, and monitoring systems compatible with the mine's equipment. For people, it defines roles like the system administrator and predictive technicians. For processes, it discusses determining what equipment will be monitored and how maintenance areas will interact with the monitoring information. The benefits of implementation are expected to include increased safety, reduced costs, improved reliability and availability.
this presentation is about the industrial automation in which PLC has been described . it also tells us about the different assembly lines being used in industrial automation and the types of gauges used in this field.
The document discusses new philosophies for aircraft maintenance including reliability-centered maintenance and condition-based maintenance. It emphasizes using data from enhanced sensors and diagnostics to enable predictive and proactive maintenance to improve aircraft availability and reduce costs over the life cycle. Emerging technologies like prognostics and health management will be integrated across all aircraft subsystems.
Condition Monitoring of DC Motor using Artificial Intelligence Techniqueijsrd.com
The complexity of most steel industry always tends to create a problem in monitoring and supervision system. Prompt fault detection and diagnosis is a best way to handle and tackle this problem. Dc motor plays a very vital role in steel industry and there is a strong demand for their reliable and safe operation. The history of fault diagnosis and protection of electrical machines is as old as such machines themselves. However, nowadays, condition monitoring of electrical machines has become increasingly essential. It plays a very important role in their safe operation and helps to avoid heavy production losses in industry. The conditioning monitoring and fault-detection techniques of electrical machines have moved in recent years into artificial intelligence techniques. When an artificial intelligence technique is used, fault detection and evaluation can be accomplished without an expert. In this paper, artificial intelligence (AI) techniques are used to build a condition monitoring system that has incremental learning capabilities. The condition-monitoring of dc motor using AI technique schemes have concentrated on sensing specific failure modes in field windings.
The document discusses the Industrial Internet and its influence on companies. It begins with an introduction to the Industrial Internet, which involves integrating physical machinery with sensors and software. It then discusses key elements like machine connectivity and how companies like John Deere, General Electric, and First Wind are using data collection and analysis to optimize operations. John Deere uses sensors and GPS to monitor equipment health in real-time. General Electric aims to increase productivity and efficiency. First Wind uses advanced monitoring of wind turbines to diagnose issues faster. The Industrial Internet holds potential for innovation and economic growth but also security risks that must be addressed.
DISPATCHER: Software & Hardware Complex Solution for continuous real-time mon...cncinfo67
Software & Hardware Complex Solution for continuous real-time monitoring of production equipment and preparing various reports on its states and events.
The document provides an overview of building management systems (BMS). It discusses that a BMS centralizes and simplifies controlling, monitoring, operating, and managing building services like heating, air conditioning, ventilation to achieve a comfortable and safe environment while saving energy and operating efficiently. The document outlines the key components of a BMS including central workstations, field devices, and DDC controllers. It also describes various BMS features such as user interfaces, data presentation, security, reporting, alarms, scheduling, and remote connectivity.
Service Rotating equipment vibration monitoring and analysis software io t b...somnath subakade
This document discusses Rotaque Consultants, an IoT company that designs and implements cyber-physical systems and IIoT solutions. It describes how Rotaque's IoT platform collects sensor data from machines, transfers it to the cloud for analysis to generate insights. The platform performs real-time event monitoring. Several applications are mentioned, including predictive maintenance to detect early failures. Potential sectors discussed include manufacturing, energy, and logistics. Benefits highlighted include reduced costs, downtime, and unexpected failures through proactive maintenance.
Balancing BEMS - April 2, 2015 - Michigan Energy ForumAnnArborSPARK
This document discusses building energy management systems (BEMS). It provides information on:
- Why BEMS are used to realize significant energy waste reduction in commercial and residential structures through energy visualization, analysis, and business growth opportunities.
- How BEMS balance data collection and budgets. The document outlines presentations from energy management specialists on topics like BEMS, data mining and distribution, dashboards, and mobile access.
Nozomi Networks is the leader of industrial cybersecurity, delivering real-time visibility to manage cyber risk & improve resilience for industrial operations. With one solution, customers gain advanced cybersecurity, improved operational reliability & easy IT/OT integration. Innovating the use of artificial intelligence, the company helps the largest industrial sites around the world See and Secure™ their critical industrial control networks. Today Nozomi Networks supports over a quarter of a million devices in the critical infrastructure, energy, manufacturing, mining, transportation & utility sectors, making it possible to tackle the escalating cyber risks to operational networks (OT).
Woodward, Inc. implemented an Industrial Internet of Things (IIoT) solution using PTC's ThingWorx platform to address challenges around lack of process for acting on operational machine data, manual tasks, and database synchronization issues. The solution involved leveraging existing PTC technologies and developing a Manufacturing Information System (MIS) integrated with manufacturing equipment. Benefits included improved training certification tracking, calibration compliance, access to work instructions, and more informed decision making through analytics. This led to enhanced quality, efficiency, and productivity.
ABC Manufacturing used ThingWorx Analytics to automate advanced analytics on factory data and gain real-time operations visibility. Challenges of large, complex data volumes and inability to use real
Safety Changer Inspections is a powerful solution that makes doing inspections easier than ever before:
- Perform inspections using your smartphone or tablet
- Now everyone can do inspections
- Anywhere, anytime, even offline
- Easily add photos, videos and documents as evidence
- Realtime insight in inspection-results, focus on findings
- Automated reporting of non-conformities
- Integrated action tracking
- RFID- and NFC-support
- Analyse results using the complete analytics dashboard
This document discusses automation and its history. It describes how automation has progressed from manual control operated by humans, to pneumatic control using air valves and switches, to hard-wired logic and relay-based control. Next, electronic control using logic gates replaced relays, offering reduced space and energy savings. Programmable logic controllers (PLCs) then emerged in the 1970s, allowing control through software programming rather than physical wiring. PLCs offer advantages like reduced space, lower costs, and easier maintenance compared to previous automation methods. The document also outlines common field instruments like temperature, pressure, and flow sensors that are used for automation in industrial processes.
SMART RODENT CONTROL eMitter - The standard for security Raymond Harfouche
Smart Rodent Control eMitter - Setting the standard
-Zero chance of poisoning.
-Reports and history anytime.
-AIB & IFS recommended - Perfect for audits
-Control & protect your location the safest way possible.
Next Generation Intelligent APM: Pain Points, Trends and SolutionsYuchen Zhao
This document discusses the pain points of traditional application performance monitoring (APM) and trends toward next generation intelligent APM. It outlines four main pain points: increasing app complexity, needing to investigate multiple data sources across teams, data volumes being too large to effectively monitor, and heterogeneous APM data types. It then presents a vision for next generation APM that leverages unified monitoring, machine learning to extract insights from massive APM data, and moves from reactive to proactive monitoring through predictive analytics and anomaly detection. Examples of how machine learning could help with tasks like log analysis, smart alerting, root cause analysis and data summarization are provided.
This presentation discusses industrial automation and its future scope. It provides an overview of the industrial revolution and need for automation to increase productivity and reduce errors. It describes SCADA systems which are used to monitor and control industrial plants. Examples of industries that use SCADA include cement plants, car manufacturing, and power grids. The presentation also discusses using Raspberry Pi computers to enable learning programming. It outlines future areas of industrial automation like MEMS, nanotechnology, and machine-to-machine networking. It addresses whether industrial automation is feasible in India and challenges of Industry 4.0.
The document proposes a lidar-based perimeter intrusion detection system (PIDS) with the following key points:
1. It uses lidar sensors that can scan 360 degrees and detect objects up to 300 meters away to monitor facility perimeters.
2. An integrated management platform analyzes lidar data and video surveillance to detect, track, and classify intrusions in four phases - detection, alert, intrusion, and tracking.
3. The solution is presented as more accurate, cost-effective, and weather-resistant than traditional security systems. It can identify intruders, predict intrusion paths, and automatically respond through configured workflows.
Sefeko is a real-time guard monitoring system developed in South Africa for use in South Africa. It provides reliable hardware and cloud-based software to monitor security guards and generate reports. The easy to use system ensures guards take action and provides an audit trail, while allowing supervisors to monitor any number of guards. Sefeko offers 24/7 support and nationwide distribution with no long-term contracts.
Guard Tracker is a guard tour monitoring system that uses biometric machines placed at points to be visited by guards. The biometric machines are connected via a local area network (LAN). The software allows for designing and assigning guard tours. It generates missed point reports and reports on guards' effective working hours. The system is provided by Sara Electronics in Pune, India.
The document discusses the implementation of a real-time condition monitoring process at Anglo American Copper's Collahuasi Mine. It defines the key elements of technology, people, and processes that must be considered. For technology, it discusses the data network, data collectors, and monitoring systems compatible with the mine's equipment. For people, it defines roles like the system administrator and predictive technicians. For processes, it discusses determining what equipment will be monitored and how maintenance areas will interact with the monitoring information. The benefits of implementation are expected to include increased safety, reduced costs, improved reliability and availability.
this presentation is about the industrial automation in which PLC has been described . it also tells us about the different assembly lines being used in industrial automation and the types of gauges used in this field.
The document discusses new philosophies for aircraft maintenance including reliability-centered maintenance and condition-based maintenance. It emphasizes using data from enhanced sensors and diagnostics to enable predictive and proactive maintenance to improve aircraft availability and reduce costs over the life cycle. Emerging technologies like prognostics and health management will be integrated across all aircraft subsystems.
Condition Monitoring of DC Motor using Artificial Intelligence Techniqueijsrd.com
The complexity of most steel industry always tends to create a problem in monitoring and supervision system. Prompt fault detection and diagnosis is a best way to handle and tackle this problem. Dc motor plays a very vital role in steel industry and there is a strong demand for their reliable and safe operation. The history of fault diagnosis and protection of electrical machines is as old as such machines themselves. However, nowadays, condition monitoring of electrical machines has become increasingly essential. It plays a very important role in their safe operation and helps to avoid heavy production losses in industry. The conditioning monitoring and fault-detection techniques of electrical machines have moved in recent years into artificial intelligence techniques. When an artificial intelligence technique is used, fault detection and evaluation can be accomplished without an expert. In this paper, artificial intelligence (AI) techniques are used to build a condition monitoring system that has incremental learning capabilities. The condition-monitoring of dc motor using AI technique schemes have concentrated on sensing specific failure modes in field windings.
The document discusses the Industrial Internet and its influence on companies. It begins with an introduction to the Industrial Internet, which involves integrating physical machinery with sensors and software. It then discusses key elements like machine connectivity and how companies like John Deere, General Electric, and First Wind are using data collection and analysis to optimize operations. John Deere uses sensors and GPS to monitor equipment health in real-time. General Electric aims to increase productivity and efficiency. First Wind uses advanced monitoring of wind turbines to diagnose issues faster. The Industrial Internet holds potential for innovation and economic growth but also security risks that must be addressed.
DISPATCHER: Software & Hardware Complex Solution for continuous real-time mon...cncinfo67
Software & Hardware Complex Solution for continuous real-time monitoring of production equipment and preparing various reports on its states and events.
The document provides an overview of building management systems (BMS). It discusses that a BMS centralizes and simplifies controlling, monitoring, operating, and managing building services like heating, air conditioning, ventilation to achieve a comfortable and safe environment while saving energy and operating efficiently. The document outlines the key components of a BMS including central workstations, field devices, and DDC controllers. It also describes various BMS features such as user interfaces, data presentation, security, reporting, alarms, scheduling, and remote connectivity.
Service Rotating equipment vibration monitoring and analysis software io t b...somnath subakade
This document discusses Rotaque Consultants, an IoT company that designs and implements cyber-physical systems and IIoT solutions. It describes how Rotaque's IoT platform collects sensor data from machines, transfers it to the cloud for analysis to generate insights. The platform performs real-time event monitoring. Several applications are mentioned, including predictive maintenance to detect early failures. Potential sectors discussed include manufacturing, energy, and logistics. Benefits highlighted include reduced costs, downtime, and unexpected failures through proactive maintenance.
Balancing BEMS - April 2, 2015 - Michigan Energy ForumAnnArborSPARK
This document discusses building energy management systems (BEMS). It provides information on:
- Why BEMS are used to realize significant energy waste reduction in commercial and residential structures through energy visualization, analysis, and business growth opportunities.
- How BEMS balance data collection and budgets. The document outlines presentations from energy management specialists on topics like BEMS, data mining and distribution, dashboards, and mobile access.
Nozomi Networks is the leader of industrial cybersecurity, delivering real-time visibility to manage cyber risk & improve resilience for industrial operations. With one solution, customers gain advanced cybersecurity, improved operational reliability & easy IT/OT integration. Innovating the use of artificial intelligence, the company helps the largest industrial sites around the world See and Secure™ their critical industrial control networks. Today Nozomi Networks supports over a quarter of a million devices in the critical infrastructure, energy, manufacturing, mining, transportation & utility sectors, making it possible to tackle the escalating cyber risks to operational networks (OT).
Woodward, Inc. implemented an Industrial Internet of Things (IIoT) solution using PTC's ThingWorx platform to address challenges around lack of process for acting on operational machine data, manual tasks, and database synchronization issues. The solution involved leveraging existing PTC technologies and developing a Manufacturing Information System (MIS) integrated with manufacturing equipment. Benefits included improved training certification tracking, calibration compliance, access to work instructions, and more informed decision making through analytics. This led to enhanced quality, efficiency, and productivity.
ABC Manufacturing used ThingWorx Analytics to automate advanced analytics on factory data and gain real-time operations visibility. Challenges of large, complex data volumes and inability to use real
This document provides an overview of an IFS World showcase event. It includes an agenda, facts and figures about IFS, examples of IFS customers in different industries, and demonstrations of IFS solutions for operationalizing IoT data and managing a mobile workforce. The event showcases how IFS helps customers in various industries like construction, utilities, and transportation optimize their operations and business performance through tools for asset management, project management, maintenance, and dynamic workforce scheduling.
During the European Automotive Air Conditioning Convention on 20 and 21 September in Frankfurt, Frank has provided a workshop. The subject was the importance of reliable diagnostic tools and workshop information systems for the automotive air conditioning specialist.
In today\'s hybrid vehicles, the cooling of the HV battery and power electronics become increasingly important. With the advent of fully electric vehicles and vehicles with a range-extender, we can truly say that the cooling and heating components are crucial. When future automotive air conditioning specialist wants to play any role of importance, he will have to go along with such developments. This will require an investment in knowledge and equipment.
Utilities Monitoring System - energy, water, gas, compressed airMrs.Shanaz Akter
Milon Device Monitoring System (MDMS)
Utilities Monitoring System - energy, water, gas, compressed air
Electricity Monitoring
Utilities Monitoring
Measurement of Production Efficiency
Temperature Monitoring
Monitoring of Machine Temperature
Measurement of Energy Efficiency
Extruder Control System
Parts Washer Control
Laboratory-testing Work Stations Monitorings
Portable Measuring Sets Varius Equipment as for Customer Demand
Splunk for Monitoring and Diagnostics Breakout SessionSplunk
Splunk for Monitoring and Diagnostics is a presentation about using Splunk software to gain real-time insights from industrial machine data. The document discusses how Splunk can be used to collect, index, enrich, search, analyze, and report on data from industrial IoT sensors, equipment, and systems. It provides examples of how Splunk has helped companies in oil/gas, manufacturing, and other industries improve operations, maintenance, safety and security by turning their machine data into business value. The presentation includes a demo of Splunk's capabilities for industrial use cases.
This document discusses the evolution of flight deck instrumentation from mechanical to modern digital displays. It provides an overview of the basic components of instruments, including sensors, processors, and indicators. It then discusses developments like moving sensors away from indicators and incorporating data buses and computer networks to process and send signals to aircraft instruments and displays. The document will assess the integration of voice recognition technology onto commercial aircraft flight decks.
PUMA is takes advantage of ISA 106. Presentation discusses about the idea of OPC Conditional Bridging. It also presents a case study done at one of Air Liquide's site
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
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.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
2. www.power-mi.com 2
THE CONCEPT
Repairs planning
Repairs execution
MAINTENANCE DEPARTMENT
Plant manager
PREDICTIVE MAINTENANCE
Predictive maintenance engineer
THE COMMUNICATION BETWEEN THESE TWO PLAYERS NEEDS TO BE IMPROVED
Vibration analysis
Oil analysis
Current analysis
Visual inspection
Infrared thermography
Airborne ultrasound
3. www.power-mi.com 3
● Quick report creation
● Faults catalog
● Quality control
● Machines history
● Data security
Power-MI
● How are my machines?
● What do I have to do?
● Automatic work orders
● Calculate savings
PREDICTIVE MAINTENANCE
Predictive maintenance engineer
MAINTENANCE DEPARTMENT
Plant manager
THE CONCEPT
POWER-MI IS THE TOOL TO IMPROVE THE RESULTS OF THESE TWO PLAYERS