Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence

Tang, W. H.; Wu, Q. H.

ISBN 10: 1447126262 / ISBN 13: 9781447126263

Editore: Springer London Ltd, 2013

This volume provides a thorough introduction to transformer condition monitoring for the assessment of power transformers. The fundamental theories are discussed, in addition to the most up-to-date research in this rapidly changing field. Series: Power Systems. Num Pages: 202 pages, 66 black & white tables, biography. BIC Classification: TGPR; THRD; UGK; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 11. Weight in Grams: 316. . 2013. Paperback. . . . . Codice articolo V9781447126263

Riassunto:

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.

Informazioni sull?autore: Dr. W.H. Tang received his BEng and MSc(Eng) degrees in Electrical Engineering from Huazhong University of Science and Technology, China, in 1996 and 2000, respectively. He obtained a PhD from The University of Liverpool, Liverpool, UK, in 2004. From 2004 to 2006 he worked as a postdoctoral research associate and a university teacher in The University of Liverpool. Since 2006, he has held a lectureship in power engineering in the Department of Electrical Engineering and Electronics in The University of Liverpool. He has published 21 refereed journal papers and presented 24 international conference papers since 2000. His research interests include transformer modelling, substation condition monitoring, computational intelligence and multiple criteria decision analysis. He has also worked on multi-agent systems, renewable energy and power systems. His research has been funded by the Engineering Physical Science Research Council, UK, and industrial companies.Professor Q.H. Wu is the Chair of Electrical Engineering at The University of Liverpool, UK. He obtained an MSc(Eng) in Electrical Engineering from Huazhong University of Science and Technology (HUST), China, in 1981 and a PhD in Electrical Engineering from The Queen's University of Belfast (QUB) in 1987. Before joining The University of Liverpool in 1995, Professor Wu worked as senior research fellow, lecturer and senior lecturer at QUB and Loughborough University, UK, respectively. He has published 3 monographs, 150 journal papers, 20 book chapters and 180 refereed conference papers. In 1994 he was awarded the Donald Julius Groen Prize for the best paper published in the Journal of Systems and Control Engineering, Institution of Mechanical Engineers. He is a Chartered Engineer, Fellow of IET and Senior Member of IEEE. Professor Wu’s research interests include systems modelling and control, mathematical morphology, computational intelligence, multi-agent systems and their applications for power system operation and control.

Dati bibliografici

Titolo: Condition Monitoring and Assessment of Power...
Casa editrice: Springer London Ltd
Data di pubblicazione: 2013
Legatura: Brossura
Condizione: New