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Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence

Language EnglishEnglish
Book Hardback
Book Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence Wilson H. Tang
Libristo code: 01399924
Publishers Springer London Ltd, January 2011
In recent years, rapid changes and improvements have been witnessed in the field of transformer cond... Full description
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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.

About the book

Full name Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence
Language English
Binding Book - Hardback
Date of issue 2011
Number of pages 202
EAN 9780857290519
ISBN 0857290517
Libristo code 01399924
Publishers Springer London Ltd
Weight 1080
Dimensions 155 x 235 x 16
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