Special Session-12
Session Title: Advanced Condition monitoring and Intelligent Maintenance of Power Equipment
Special Session Organizers:
Prof. Yu-Ling He, Department of Mechanical Engineering, North China Electric Power University, China
Prof. Bao-Jia Chen, College of Mechanical & Power Engineering, China Three Gorges University, China
Prof. Xiao-Hang Jin, College of Mechanical Engineering, Zhejiang University of Technology, China
Introduction and Topics:
Power equipment is the key component of electric power system. The condition monitoring and maintenance of the power equipment is pretty significant for the steady running of the power system. This session focuces on the advanced condition monitoring and intelligent maintenance technologies for power quipments, including the latest signal analysis and processing, the advanced structure design and improvement, the intelligent monitoring system development, etc, for wind turbines, generators, motors, transformers, breakers, etc.
Topics of interest include, but are not limited to:
- Advanced signal analysis and processing for power equipment.
- Stength analysis and structural improvement of key components in power equipment
- Intelligent fault diagnosis and maintenance for power equipment.
- Latest design and predictive manufacturing technology for power equipment.
- Vibration test and control theories and technologies.
- Sensor technologies.