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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

1. Chapter 1 : An introduction to power transformer monitoring - p. Page vii 2. Chapter 2 : Using electromagnetic waves for mechanical defects monitoring - p. Page 9 3. Chapter 3 : Introduction to ultra wide band (UWB) systems - p. Page 18 4. Chapter 4 : UWB wave emission channel transfer function estimation - p. Page 28 5. Chapter 5 : Analyzing EMWs using wavelet transform - p. Page 87 6. Chapter 6 : Frequency domain analysis of scattering parameters in transformers - p. Page 111 7. Chapter 7 : Time domain analysis of EMWs in transformers - p. Page 141 8. Chapter 8 : Syntactic aperture radar imaging - p. Page 176 9. Chapter 9 : Hyperbolic method - p. Page 244 10. Chapter 10 : Partial discharge monitoring using EMWs - p. Page 288 11. Index - p. Page 315

Descripcion
Descripción

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

1. Chapter 1 : An introduction to power transformer monitoring - p. Page vii 2. Chapter 2 : Using electromagnetic waves for mechanical defects monitoring - p. Page 9 3. Chapter 3 : Introduction to ultra wide band (UWB) systems - p. Page 18 4. Chapter 4 : UWB wave emission channel transfer function estimation - p. Page 28 5. Chapter 5 : Analyzing EMWs using wavelet transform - p. Page 87 6. Chapter 6 : Frequency domain analysis of scattering parameters in transformers - p. Page 111 7. Chapter 7 : Time domain analysis of EMWs in transformers - p. Page 141 8. Chapter 8 : Syntactic aperture radar imaging - p. Page 176 9. Chapter 9 : Hyperbolic method - p. Page 244 10. Chapter 10 : Partial discharge monitoring using EMWs - p. Page 288 11. Index - p. Page 315

Indice
Autores
Muestra
Ficha Técnica