Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence

1. Introduction
W. H. Tang, Q. H. Wu

2. Evolutionary Computation
W. H. Tang, Q. H. Wu

3. Methodologies Dealing with Uncertainty
W. H. Tang, Q. H. Wu

4. Thermoelectric Analogy Thermal Models of Power Transformers
W. H. Tang, Q. H. Wu

5. Thermal Model Parameter Identification and Verification Using Genetic Algorithm
W. H. Tang, Q. H. Wu

6. Transformer Condition Assessment Using Dissolved Gas Analysis
W. H. Tang, Q. H. Wu

7. Fault Classification for Dissolved Gas Analysis Using Genetic Programming
W. H. Tang, Q. H. Wu

8. Dealing with Uncertainty for Dissolved Gas Analysis
W. H. Tang, Q. H. Wu

9. Winding Frequency Response Analysis for Power Transformers
W. H. Tang, Q. H. Wu

10. Winding Parameter Identification Using an Improved Particle Swarm Optimiser
W. H. Tang, Q. H. Wu

11. Evidence-Based Winding Condition Assessment
W. H. Tang, Q. H. Wu

Keywords: Engineering, Power Electronics, Electrical Machines and Networks, Computational Intelligence, Quality Control, Reliability, Safety and Risk, Simulation and Modeling