Abstract：Based on the existing shortcomings of mechanical fault diagnosis of high voltage circuit breakers, this paper proposes a new method of high voltage circuit breaker mechanical fault diagnosis which based on the joint of vibration signal and acoustic signal. This method first uses fast kernel independent component analysis(fast KICA) to make blind source separation processing for acoustic signals collected, and processed acoustic signals and collected vibration signals should be decomposed by improving the ensemble empirical mode decomposition(EEMD) decomposition. Next is calculated the two-dimensional spectral entropy of the decomposed intrinsic mode function(IMF), and the two-dimensional spectrum entropy matrix transformation matrix is made as input feature vector of the support vector machine to identify mechanical condition of the circuit breaker. The last, the experiments show that vibration signals and acoustic signals joint complex analysis effectively improve diagnostic accuracy and practicality of high voltage circuit breaker mechanical fault diagnosis.
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2014, Vol. 29 
