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    1. Naturvetenskap och teknik
    2. Teknik och industri
    3. Energiteknik

    Power Transformer Online Monitoring Using Electromagnetic Waves

    AvGevork B. Gharehpetian,Hossein Karami

    Häftad, Engelska, 2023

    1 585 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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

    Produktinformation

    • Utgivningsdatum:2023-02-16
    • Mått:191 x 235 x 18 mm
    • Vikt:700 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:336
    • Förlag:Elsevier Science
    • ISBN:9780128228012

    Utforska kategorier

    • Energiteknik inom Naturvetenskap och teknik

    Mer om författaren

    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.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.

    Innehållsförteckning

    • 1. Introduction to Power Transformer Monitoring2. Using Electromagnetic Waves (EMWs) for Mechanical Defects Monitoring3. Introduction to Ultra-Wide Band (UWB) Systems4. UWB Wave Emission Channel Transfer Function Estimation5. Analyzing EMWs Using Wavelet Transform6. Frequency Domain Analysis of EMWs7. Time Domain Analysis of EMWs8. Syntactic Aperture Radar Imaging9. Hyperbolic Method10. EMWs and Partial Discharge Monitoring