Cantitate/Preț
Produs

Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence: Power Systems

Autor W. H. Tang, Q.H. Wu
en Limba Engleză Paperback – 25 feb 2013
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 90523 lei  6-8 săpt.
  SPRINGER LONDON – 25 feb 2013 90523 lei  6-8 săpt.
Hardback (1) 91100 lei  6-8 săpt.
  SPRINGER LONDON – 30 ian 2011 91100 lei  6-8 săpt.

Din seria Power Systems

Preț: 90523 lei

Preț vechi: 110394 lei
-18% Nou

Puncte Express: 1358

Preț estimativ în valută:
17325 18277$ 14438£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781447126263
ISBN-10: 1447126262
Pagini: 220
Ilustrații: XVIII, 202 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:2011
Editura: SPRINGER LONDON
Colecția Springer
Seria Power Systems

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

1. Introduction.- 2. Evolutionary Computation.- 3. Methodologies Dealing With Uncertainty.- 4. Thermoelectric Analogy Thermal Models for Power Transformers.- 5. Thermal Model Parameter Identification and Verification Using Genetic Algorithm.- 6. Transformer Condition Assessment Using Dissolved Gas Analysis.- 7. Fault Classification for Dissolved Gas Analysis Using Genetic Programming.- 8. Dealing with Uncertainty for Dissolved Gas Analysis.- 9. Winding Frequency Response Analysis for Power Transformers.- 10. Winding Parameter Identification Using an Improved Particle Swarm Optimiser.- 11. Evidence-Based Winding Condition Assessment.

Notă biografică

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, computationalintelligence, multi-agent systems and their applications for power system operation and control.

Textul de pe ultima copertă

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.

Caracteristici

Provides a thorough background introduction for each analytical solution Includes links to toolboxes for the implementation of the methodologies introduced Allows readers to optimise the accuracy of their own modelling Includes supplementary material: sn.pub/extras