Condition monitoring and assessment of power transformers using computational intelligence

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 appli...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Tang, Wen Hu, Wu, Q. H. (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: London : Springer London [20..].
Cham : Springer Nature
Édition:1st ed. 2011.
Collection:Power Systems
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence, Texte imprimé, 9780857290519
Table des matières:
  • 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