000			03191nam a2200337za04500
001			17144
008			050703s2011 xxk eng d
020			_a9780857290526 99780857290526
082			_a621.317 _b223
100			_aTang, W.H. _eauthor. _934373
245			_aCondition Monitoring and Assessment of Power Transformers Using Computational Intelligence _h[electronic resource] / _cby W.H. Tang, Q.H. Wu.
300			_aXVIII, 202 p. _bonline resource.
490			_aPower Systems
490			_x-1612-1287
505			_a1. 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.
520			_aIn 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.
650			_aEngineering. _996
650			_923196 _aPRODUCTION OF ELECTRIC ENERGY OR POWER
650			_aEngineering. _996
650			_933950 _aCOMPUTER SIMULATION
650			_933916 _aSIMULATION AND MODELING
650			_933763 _aCOMPUTATIONAL INTELIGENCE
650			_933582 _aSYSTEMS SAFETY
650			_933813 _aPOWER ELECTRONICS, ELECTRICAL MACHINES AND NETWORKS
650			_91521 _aQUALITY CONTROL, REABILITY, SAFETY AND RISK.
700			_a0.H. _934374
700			_eauthor. _934375
710			_aSpringerLink (Online service) _9111
856			_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-0-85729-052-6 _yir a documento _qURL
942			_2ddc _cCF
999			_c13897 _d13897