Power Transformer Online Monitoring Using Electromagnetic Waves
- 1st Edition - February 9, 2023
- Imprint: Academic Press
- 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
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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 9, 2023
- Imprint: Academic Press
- Language: English
GG
Gevork B. Gharehpetian
Prof. G. B. Gharehpetian received his BS, MS and PhD degrees in electrical engineering in 1987, 1989 and 1996 from Tabriz University, Tabriz, Iran and Amirkabir University of Technology (AUT), Tehran, Iran and Tehran University, Tehran, Iran, respectively, graduating all with First Class Honors. As a PhD student, he has received scholarship from DAAD (German Academic Exchange Service) from 1993 to 1996 and he was with High Voltage Institute of RWTH Aachen, Aachen, Germany.
He has been holding the Assistant Professor position at AUT from 1997 to 2003, the position of Associate Professor from 2004 to 2007 and has been Professor since 2007.
He was selected by the MSRT (Ministry of Science Research and Technology) as the distinguished professor of Iran, by IAEEE (Iranian Association of Electrical and Electronics Engineers) as the distinguished researcher of Iran, by Iran Energy Association (IEA) as the best researcher of Iran in the field of energy, by the MSRT as the distinguished researcher of Iran, by the Academy of Science of the Islamic Republic of Iran as the distinguished professor of electrical engineering, by National Elites Foundation as the laureate of Alameh Tabatabaei Award, by National Elites Foundation as the laureate of Sheikh Mofid Award and was awarded the National Prize in 2008, 2010, 2018, 2018, 2019, 2019 and 2024, respectively. Based on the Web of Science database (2005-2023), he is among world’s top 1% elite scientists according to ESI (Essential Science Indicators) ranking system.
Prof. Gharehpetian is distinguished, senior and distinguished member of CIGRE, IEEE and IAEEE, respectively. Since 2004, he has been the Editor-in-Chief of the Journal of IAEEE.
He is the author of about 1500 journal and conference papers. His teaching and research interests include Smart Grid, Microgrids, FACTS and HVDC Systems, Monitoring of Power Transformers and its Transients.
Relevant Courses taught: Electrical Machines (II): The object of this course is to provide a foundation in the concepts and transformers and induction machines. Microgrids & Smart Grids: The object of this course is to provide a foundation in the concepts and applications of Micro and Smart Grids. Distributed Generation: The object of this course is to become familiar with the basics of the distributed power generation and their application merits and demerits in distribution system or stand-alone operation mode. FACTS: The object of this course is to provide a foundation in the concepts and application of FACTS devices in power systems. Modern Power System Elements: This course aims to provide a comprehensive, objective portrait of the future of the electric grid and the challenges and opportunities it is likely to face over the next two decades considering the new developments and research in power systems. Foundation of this book.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