In order to timely detect potential safety hazards,an automated identification method for the sudden change point of high-voltage circuit breaker opening and closing vibration is proposed.Input the collected high-voltage circuit breaker opening and closing vibration signals into the support vector machine to obtain normal vibration signals and suspected vibration mutation signals,and extract suspected vibration mutation signals.Using the CEEMDAN decompo-sition algorithm to obtain the components of each suspected vibration mutation signal,and retaining important compo-nents based on the variance contribution rate of the signal components.Calculate the spectral kurtosis of important components and set a spectral kurtosis threshold.Signals with component spectral kurtosis greater than the threshold are identified as vibration mutation signals,thus completing the automated identification of vibration mutation points.The experimental results show that the method has high performance in signal component extraction and good identi-fication effect for mutation points.
关键词
高压断路器分合闸/振动突变点辨识/支持向量机/CEEMDAN分解/谱峭度
Key words
high voltage circuit breaker opening and closing/identification of vibration mutation points/support vector machine/CEEMDAN decomposition/spectral kurtosis
维普
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