000 03669nam a22005175i 4500
001 978-0-85729-052-6
003 DE-He213
005 20140220083712.0
007 cr nn 008mamaa
008 110117s2011 xxk| s |||| 0|eng d
020 _a9780857290526
_9978-0-85729-052-6
024 7 _a10.1007/978-0-85729-052-6
_2doi
050 4 _aTK7881.15
072 7 _aTHRD
_2bicssc
072 7 _aTHRM
_2bicssc
072 7 _aTEC046000
_2bisacsh
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
912 _aZDB-2-ENG
999 _c105116
_d105116