Condition monitoring of engineering plants has increased in importance as engineering processes have become increasingly automated. However, electrical machinery usually receives attention only at infrequent intervals when the plant or the electricity generator is shut down. The economics of industry have been changing, placing ever more emphasis on the importance of reliable operation of the plants. Electronics and software in instrumentation, computers, and digital signal processors have improved our ability to analyse machinery online. Condition monitoring is now being applied to a range of systems from fault-tolerant drives of a few hundred watts to machinery of a few hundred MW in major plants.
This book covers a large range of machines and their condition monitoring. This 3rd edition builds on the 2nd edition through a major revision, update of chapters and a comprehensive list of references & standards. Permanent magnet, switched reluctance and other types of machines are now covered, as well as variable speed drive machines and off-line techniques.
Contents cover an introduction to condition monitoring; rotating electrical machines; electrical machine construction, operation and failure modes; reliability of machines and typical failure rates; signal processing and instrumentation requirements; on-line temperature monitoring; on-line chemical monitoring; on-line vibration monitoring; on-line current, flux and power monitoring; on-line partial discharge (PD) electrical monitoring; on-line variable speed drive machine monitoring; off-line monitoring; condition-based maintenance and asset management; application of artificial intelligence techniques to CM; and safety, training and qualification.
- Chapter 2: Rotating electrical machines
- Chapter 3: Electrical machine construction, operation and failure modes
- Chapter 4: Reliability of machines and typical failure rates
- Chapter 5: Signal processing and instrumentation requirements
- Chapter 6: Online temperature monitoring
- Chapter 7: Online chemical monitoring
- Chapter 8: Online vibration monitoring
- Chapter 9: Online current, flux and power monitoring
- Chapter 10: Online partial discharge (PD) electrical monitoring
- Chapter 11: Online variable speed drive machine monitoring
- Chapter 12: Offline monitoring
- Chapter 13: Condition-based maintenance and asset management
- Chapter 14: Application of artificial intelligence techniques to CM
- Chapter 15: Safety, training and qualification
- Chapter 16: Overall conclusions
- Appendix A: Failure modes and root causes in the rotating electrical machines
- Appendix B: Draft CM good practice guide, MCSA
- Appendix C: Electrical machines, drives and condition monitoring timeline
Durham University, UK.
Peter Tavner is an Emeritus Professor at Durham University, UK. He has held a number of senior research and technical positions in the electrical supply and manufacturing industries, including two of the UK's large electrical machine manufacturers. He was Professor of New & Renewable Energy at Durham University for 8 years, President of the European Academy of Wind Energy from 2010-2012, and winner of the Institution Premium of the IEE in 1988.Li Ran Professor.
Warwick University, UK.
Chongqing University, China.
Li Ran is a professor at Warwick University, UK and Chongqing University, China. After his PhD he participated in the commissioning of Gezhouba-Shanghai HVDC System. Between 1992 and 1999, he was a postdoctoral research fellow with the Universities of Aberdeen, Nottingham and Heriot-Watt. He became a chair at Durham University in 2010 and joined the University of Warwick in 2012. He was a deputy director for the State Key Laboratory in Power Transmission Equipment and System Security, China.Christopher Crabtree Associate Professor.
Durham University, Department of Engineering, UK.
Christopher Crabtree is an associate professor in wind energy systems in the Department of Engineering at Durham University, UK. Christopher's research focuses on operation and maintenance aspects of wind energy, onshore and offshore, with the aim of improving reliability, raising availability and cost reduction. His areas of focus are development of condition monitoring techniques, power conversion system reliability, performance analysis of wind energy systems, and high-frequency thermal monitoring for power electronics.