Research on combined diagnosis of mechanical fault vibration-sound signal of high voltage circuit breaker based on EEMD-energy entropy feature

Yanfei Zhang; Yang Shao; Weiwei Gong; Zhaowei Zhang; Jianwen Wu

doi:10.1117/12.2603060

2 July 2021 Research on combined diagnosis of mechanical fault vibration-sound signal of high voltage circuit breaker based on EEMD-energy entropy feature

Yanfei Zhang, Yang Shao, Weiwei Gong, Zhaowei Zhang, Jianwen Wu

Author Affiliations +

Proceedings Volume 11887, International Conference on Sensors and Instruments (ICSI 2021); 118870Z (2021) https://doi.org/10.1117/12.2603060
Event: International Conference on Sensors and Instruments 2021, 2021, Qingdao, China

Abstract

Current research reveal many problems in the process of mechanical fault diagnosis of high-voltage circuit breakers (HVCBs). One of the problems concerns the vibration signals of HVCBs involving a wide range and large amplitude. This makes it difficult to monitor. A single vibration signal is seriously affected by the position. And it is easy to saturate and top off, which can’t fully display the mechanical fault information of HVCBs.Therefore, this paper collects vibration and sound signals for the typical five working conditions of the HVCBs, and proposes an EEMD-energy entropy feature extraction method, then uses the KNN algorithm to diagnose the five working conditions. Compared with the diagnosis results under a single vibration signal and a single sound signal, the superiority of the vibration-sound signal combined analysis and the effectiveness of the proposed feature extraction method areverified, which provides a new idea for the study of mechanical fault diagnosis of HVCBs.

Citation Download Citation

Yanfei Zhang, Yang Shao, Weiwei Gong, Zhaowei Zhang, and Jianwen Wu "Research on combined diagnosis of mechanical fault vibration-sound signal of high voltage circuit breaker based on EEMD-energy entropy feature", Proc. SPIE 11887, International Conference on Sensors and Instruments (ICSI 2021), 118870Z (2 July 2021); https://doi.org/10.1117/12.2603060

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