Special Session SS16

Fault Diagnosis and Condition Monitoring on Large-Capacity Electrical Machines

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Introduction:

Large-capacity electrical machines serve as core equipment for energy conversion in the new power system. Real-time condition monitoring, intelligent diagnosis and failure prevention of key components of large thermal/nuclear turbine generators, doubly-fed induction wind generators, large offshore direct-drive permanent magnet wind generators, large synchronous condensers and high-power drive motors are of great significance for safeguarding local economic development and the safe and stable operation of various industries. This special session focuses on intelligent fault diagnosis and condition monitoring under typical operating conditions amid large-scale integration of new energy, including deep peak regulation of thermal power units, wide-power-range operation of wind turbines, over-excitation operation of large synchronous condensers in daytime and under-excitation operation at night.

The topics of interest include, but are not limited to:

1. Analysis and risk assessment on deep peak regulation, phase modulation and leading power factor operation of thermal power units
2. Condition monitoring and fault diagnosis of nuclear power units
3. Condition monitoring, diagnosis and control of large hydropower / pumped storage units
4. Characteristic analysis of large doubly-fed induction generators under high/low voltage ride-through
5. Wide power range operation monitoring and control of offshore permanent magnet direct-drive / semi-direct-drive wind turbine generators
6. Component safety monitoring and fault early warning control of large synchronous condensers under overexcited/underexcited operation
7. Loss and temperature rise control of drive motors for large ships, aircraft and electric vehicles
8. Fault diagnosis and fault-tolerant control of large multiphase motors
9. Temperature rise, vibration analysis and control of large-capacity electrical machines
10. Damage failure analysis and control of winding insulation in large electrical machines
11. Optimization of materials, structures and operating performance of large electrical machines

SS16's Session Chair:

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Prof. Yuling He, North China Electric Power University, China

SS16's Session Co-chairs:

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Prof. Yucai Wu, North China Electric Power University, China

Prof. Jun Hang, Anhui University, China

Prof. Xu Bian, Harbin University of Science and Technology, China

Assoc. Prof. Liangliang Hao, Beijing Jiaotong University, China