Condition Monitoring of Rotating Electrical Machines

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 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 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.

• Chapter 1: Introduction to condition monitoringChapter 2: Rotating electrical machinesChapter 3: Electrical machine construction, operation and failure modesChapter 4: Reliability of machines and typical failure ratesChapter 5: Signal processing and instrumentation requirementsChapter 6: Online temperature monitoringChapter 7: Online chemical monitoringChapter 8: Online vibration monitoringChapter 9: Online current, flux and power monitoringChapter 10: Online partial discharge (PD) electrical monitoringChapter 11: Online variable speed drive machine monitoringChapter 12: Offline monitoringChapter 13: Condition-based maintenance and asset managementChapter 14: Application of artificial intelligence techniques to CMChapter 15: Safety, training and qualificationChapter 16: Overall conclusionsAppendix A: Failure modes and root causes in the rotating electrical machinesAppendix B: Draft CM good practice guide, MCSAAppendix C: Electrical machines, drives and condition monitoring timeline