Power Transformer Online Monitoring Using Electromagnetic Waves
- 1st Edition - February 16, 2023
- Authors: Gevork B. Gharehpetian, Hossein Karami
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 8 0 1 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 8 0 2 - 9
Power Transformer Online Monitoring using Electromagnetic Waves explores how to use electromagnetic wave technology and remote monitoring systems to predict and localize costly me… Read more
Power Transformer Online Monitoring using Electromagnetic Waves explores how to use electromagnetic wave technology and remote monitoring systems to predict and localize costly mechanical defects and partial discharge challenges in high voltage transformer windings. This innovative approach brings several potential benefits compared with conventional techniques such as frequency response analysis, including impermeability to ambient noise, and online implementation capability. This book reviews both fundamental and state-of-the-art information about all key aspects of condition monitoring using electromagnetic waves. It addresses the simulation of power transformers in CST environment while also explaining the theoretical background of boundary conditions used. Chapters review how to achieve practical online implementation, reliable diagnosis, asset management and remnant life estimation. Partial discharge detection is also discussed.
- Discusses the advantages and disadvantages of the electromagnetic wave method in comparison with classical monitoring methods
- Explores how to design and implement power transformer monitoring systems using electromagnetic waves
- Investigates partial discharge detection and localization in addition to the partial discharge emission effects on defect detection
Early career researchers and graduate students in power and electrical engineering exploring approaches to advance condition monitoring of power transformers. Power engineers working with the construction, operation and maintenance of power transformers, especially power transformer factories
1. Introduction to Power Transformer Monitoring
2. Using Electromagnetic Waves (EMWs) for Mechanical Defects Monitoring
3. Introduction to Ultra-Wide Band (UWB) Systems
4. UWB Wave Emission Channel Transfer Function Estimation
5. Analyzing EMWs Using Wavelet Transform
6. Frequency Domain Analysis of EMWs
7. Time Domain Analysis of EMWs
8. Syntactic Aperture Radar Imaging
9. Hyperbolic Method
10. EMWs and Partial Discharge Monitoring
2. Using Electromagnetic Waves (EMWs) for Mechanical Defects Monitoring
3. Introduction to Ultra-Wide Band (UWB) Systems
4. UWB Wave Emission Channel Transfer Function Estimation
5. Analyzing EMWs Using Wavelet Transform
6. Frequency Domain Analysis of EMWs
7. Time Domain Analysis of EMWs
8. Syntactic Aperture Radar Imaging
9. Hyperbolic Method
10. EMWs and Partial Discharge Monitoring
- Edition: 1
- Published: February 16, 2023
- Language: English
GG
Gevork B. Gharehpetian
Gevork B. Gharehpetian received his PhD degree in electrical engineering from Tehran University, Tehran, Iran. As a PhD student, he received a scholarship from DAAD (German Academic Exchange Service) and he was with High Voltage Institute of RWTH Aachen, Aachen, Germany. He has been Assistant Professor then Full Professor at Amirkabir University of Technology (AUT) since 1997. He has been selected for numerous awards as a distinguished researcher from groups such as Ministry of Science Research and Technology (MSRT) and Iranian Association of Electrical and Electronics Engineers (IAEEE). Prof. Gharehpetian is a senior member and member of CIGRE, IEEE and IAEEE, respectively. He is Editor-in-Chief of the Journal of IAEEE, and has contributed to numerous works from international publishers of repute. His teaching and research interests include Smart Grid, Microgrids, Distributed Generation, FACTS and HVDC Systems, Monitoring of Power Transformers and its Transients.
Affiliations and expertise
Professor, Amirkabir University of Technology, Tehran, IranHK
Hossein Karami
Hossein Karami received his Ph.D. degree from the Electrical Engineering Department of Amirkabir University of Technology (AUT), Tehran, Iran, in 2017. His Ph.D. thesis was about the feasibility of simultaneously partial discharge localization and synthetic-aperture radar imaging of power transformer windings using electromagnetic antennas. He was selected by National Elites Foundation as the laureates of Shahid Chmaran Award and a Postdoctoral Researcher with AUT worked on the development and optimization of methods for objective interpretation of frequency response analysis (FRA) test results in power transformers. He has been holding the Assistant Professor position at Niroo Research Institute (NRI) since 2020. He is the author of 4 patents and more than 80 journal and conference papers. His research interests include online monitoring, power transformers, partial discharge, FRA test results interpretation, artificial intelligence, energy management, and optimal scheduling.
Affiliations and expertise
Assistant Professor, Niroo Research Institute (NRI), Tehran, IranRead Power Transformer Online Monitoring Using Electromagnetic Waves on ScienceDirect