03513nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137082001600172100002400188245014400212264003800356300003600394336002600430337002600456338003600482347002400518490003000542505065500572520130601227650001702533650002502550650001902575650004402594650001702638650005702655650003202712650005102744650002902795700002202824710003402846773002002880776003602900830003002936856010102966978-0-85729-052-6DE-He21320260521092035.0cr nn 008mamaa110117s2011    xxk|    s    |||| 0|eng d  a9780857290526  a997808572905267 a10.1007/978-0-85729-052-62doi04a621.3172231 aTang, W.H.eauthor.10aCondition Monitoring and Assessment of Power Transformers Using Computational Intelligenceh[electronic resource] /cby W.H. Tang, Q.H. Wu. 1aLondon :bSpringer London,c2011.  aXVIII, 202 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aPower Systems,x1612-12870 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.  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. 0aENGINEERING. 0aCOMPUTER SIMULATION. 0aSYSTEM SAFETY. 0aPRODUCTION OF ELECTRIC ENERGY OR POWER.14aENGINEERING.24aPOWER ELECTRONICS, ELECTRICAL MACHINES AND NETWORKS.24aCOMPUTATIONAL INTELLIGENCE.24aQUALITY CONTROL, RELIABILITY, SAFETY AND RISK.24aSIMULATION AND MODELING.1 aWu, Q.H.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780857290519 0aPower Systems,x1612-128740uhttp://dx.doi.org/10.1007/978-0-85729-052-6zVer el texto completo en las instalaciones del CICY