Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence

• Main Authors: Tang, W.H (Author), Wu, Q.H (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2011.
• Series: Power Systems,
• Subjects: Engineering.; Computer simulation.; Computational intelligence.; Quality control.; Reliability.; Industrial safety.; Power electronics.; Power Electronics, Electrical Machines and Networks.; Computational Intelligence.; Quality Control, Reliability, Safety and Risk.; Simulation and Modeling.

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...

Table of Contents:

• 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.