This book is a one–stop guide to state–of–the–art research in transformer ageing, condition monitoring and diagnosis. It is backed by rigorous research projects supported by the Australian Research Council in collaboration with several transmission and distribution companies. Many of the diagnostic techniques and tools developed in these projects have been applied by electricity utilities and would appeal to both researchers and practicing engineers. Important topics covered in this book include transformer insulation materials and their ageing behaviour, transformer condition monitoring techniques and detailed diagnostic techniques and their interpretation schemes. It also features a monitoring framework for smart transformers as well as a chapter on biodegradable oil.
- Offers a comprehensive coverage of transformer ageing topics including insulation materials, dielectric properties and ageing mechanisms, condition monitoring and diagnostic techniques
- Features chapters on smart transformer monitoring frameworks, transformer life estimation and biodegradable oil behaviour
- Highlights industrially relevant techniques adopted in electricity utilities, backed by extensive research
Transformer Ageing: Monitoring and Estimation Techniques is an industrially relevant and essential textbook for graduate students, engineers and researchers studying transformers and condition monitoring techniques. It is also a helpful reference for industry professionals working in transformer condition monitoring and life assessment.
Contributing Authors xiii
1 Transformer Insulation Materials and Ageing 1
2 Overview of Insulation Diagnostics 35
3 Dielectric Response Measurements 81
4 Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques 211
5 Advanced Signal Processing Techniques for Partial Discharge Measurement 245
6 Frequency Response Analysis Interpretation for Winding Deformation of Power Transformers 303
7 Impact of Moisture and Remaining Life Estimation 329
8 Biodegradable Oils and their Impact on Paper Ageing 361
9 Smart Transformer Condition Monitoring and Diagnosis 403
10 Conclusions and Future Research 441