Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence

  • W.H. Tang
  • Q.H. Wu

Part of the Power Systems book series (POWSYS)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. W. H. Tang, Q. H. Wu
    Pages 1-13
  3. W. H. Tang, Q. H. Wu
    Pages 15-36
  4. W. H. Tang, Q. H. Wu
    Pages 37-54
  5. W. H. Tang, Q. H. Wu
    Pages 125-162
  6. W. H. Tang, Q. H. Wu
    Pages 185-194
  7. Back Matter
    Pages 195-199

About this book

Introduction

In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.

Keywords

Computational Intelligence Condition Monitoring Decision Making Fault Diagnosis Power Transformers

Authors and affiliations

  • W.H. Tang
    • 1
  • Q.H. Wu
    • 2
  1. 1., Department of Electrical EngineeringThe University of LiverpoolLiverpoolUnited Kingdom
  2. 2., Department of Electrical EngineeringThe University of LiverpoolLiverpoolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-052-6
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-0-85729-051-9
  • Online ISBN 978-0-85729-052-6
  • Series Print ISSN 1612-1287
  • Series Online ISSN 1860-4676
  • About this book