A Research Review on Application of Motor Drive System Self-Sensing in Mechanical Fault Diagnosis
Yao Yuan1, Li Yesong2, Lei Li2,3, Xie Bin2, Wang Yaohui2
1. College of Electrical Engineering Henan University of Technology Zhengzhou 450001 China; 2. School of Artificial Intelligent and Automation Huazhong University of Science and Technology Wuhan 430074 China; 3. Wuhan Huazhong Numerical Control Co. Ltd Wuhan 430223 China
Abstract：The development of condition monitoring and fault diagnosis for CNC machines, industrial robots and other key manufacturing equipment can improve their security and reliability. It also meets the requirement of intelligent manufacturing. Compared with the traditional vibration analysis method, the motor drive system, i.e. the actuator in the mechatronic system, can be served as a perceptron which provides a mechanical fault diagnosis approach without additional sensors. This paper focuses on the application of the motor drive in condition perception of mechanical equipment. The researches at home and abroad on mechanical fault diagnosis based on measuring, controlling and observing information are summarized. Meanwhile, according to the characteristics of the motor drive system and the requirements of engineering practice, some key issues and possible solutions for diagnosis with the self-sensing motor drive are proposed.
姚远, 李叶松, 雷力, 谢斌, 王耀辉. 基于电机驱动系统自传感的机械故障诊究综述[J]. 电工技术学报, 2022, 37(12): 2936-2948.
Yao Yuan, Li Yesong, Lei Li, Xie Bin, Wang Yaohui. A Research Review on Application of Motor Drive System Self-Sensing in Mechanical Fault Diagnosis. Transactions of China Electrotechnical Society, 2022, 37(12): 2936-2948.
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