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Monitoreo de condición y evaluación de transformadores de potencia utilizando computacional-,-
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Características del artículo
- Estado
- PublishedOn
- 2013-02-25
- Title
- Condition Monitoring and Assessment of Power Transformers Using
- ISBN
- 9781447126263
- Subject Area
- Computers, Technology & Engineering
- Publication Name
- Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence
- Publisher
- Springer London, The Limited
- Item Length
- 9.3 in
- Subject
- Engineering (General), Intelligence (Ai) & Semantics, Power Resources / Electrical, Electrical
- Publication Year
- 2013
- Series
- Power Systems Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 16 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xviii, 202 Pages
Acerca de este producto
Product Identifiers
Publisher
Springer London, The Limited
ISBN-10
1447126262
ISBN-13
9781447126263
eBay Product ID (ePID)
159909268
Product Key Features
Number of Pages
Xviii, 202 Pages
Language
English
Publication Name
Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence
Subject
Engineering (General), Intelligence (Ai) & Semantics, Power Resources / Electrical, Electrical
Publication Year
2013
Type
Textbook
Subject Area
Computers, Technology & Engineering
Series
Power Systems Ser.
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
621.314
Table Of Content
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.
Synopsis
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., 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., 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., This volume provides a thorough introduction to transformer condition monitoring for the assessment of power transformers. The fundamental theories are discussed, in addition to the most up-to-date research in this rapidly changing field.
LC Classification Number
TK1001-1841
Descripción del artículo del vendedor
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