By analyzing the vibration signals of high voltage circuit breakers(HVCB),fault types can be identified based on their different vibration characteristics.Using an improved wavelet threshold denoising method for data preprocessing of circuit breaker vibration signals,and extracting the energy proportion of each frequency band through wavelet packet transform,HVCB fault diagnosis is achieved based on the analysis of energy distribution characteristics.Engineering examples show that the method proposed in this paper can effectively achieve mechanical fault diagnosis of HVCB,providing a new technological means for intelligent operation and inspection of high-voltage circuit breakers.
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