Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence (Hardcover, 2011 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Power Systems
Release date:	2011
First published:	2011
Authors:	W. H. Tang • Q.-H. Wu
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	202
Edition:	2011 ed.
ISBN-13:	978-0-85729-051-9
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-85729-051-7
Barcode:	9780857290519

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