000			03637nam a22004935i 4500
001			978-0-85729-052-6
003			DE-He213
005			20251006084442.0
007			cr nn 008mamaa
008			110117s2011 xxk| s |||| 0|eng d
020			_a9780857290526
020			_a99780857290526
024	7		_a10.1007/978-0-85729-052-6 _2doi
082	0	4	_a621.317 _223
100	1		_aTang, W.H. _eauthor.
245	1	0	_aCondition Monitoring and Assessment of Power Transformers Using Computational Intelligence _h[electronic resource] / _cby W.H. Tang, Q.H. Wu.
264		1	_aLondon : _bSpringer London, _c2011.
300			_aXVIII, 202 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aPower Systems, _x1612-1287
505	0		_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		0	_aENGINEERING.
650		0	_aCOMPUTER SIMULATION.
650		0	_aSYSTEM SAFETY.
650		0	_aPRODUCTION OF ELECTRIC ENERGY OR POWER.
650	1	4	_aENGINEERING.
650	2	4	_aPOWER ELECTRONICS, ELECTRICAL MACHINES AND NETWORKS.
650	2	4	_aCOMPUTATIONAL INTELLIGENCE.
650	2	4	_aQUALITY CONTROL, RELIABILITY, SAFETY AND RISK.
650	2	4	_aSIMULATION AND MODELING.
700	1		_aWu, Q.H. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857290519
830		0	_aPower Systems, _x1612-1287
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-85729-052-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c59929 _d59929