结合经验模态分解能量总量法的断路器振动信号特征向量提取

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Abstract In order to detect a mechanical type of structural failure of the circuit breaker, the characteristics of the circuit breaker mechanical vibration signal is analyzed in this paper. A combination of medium voltage circuit breaker based on empirical mode decomposition(EMD) amount of energy and support vector machine(SVM) theory vibration signal feature vector extraction and analysis of fault classification method is proposed. First, the vibration signal of the circuit breaker is decomposed by EMD, and then intrinsic mode function(IMF) is obtained. The total energy of each failure intrinsic mode function component obtained the method of discrete sampling points information which contains the main features. Using the amount of energy of IMF component as a feature vector, SVM and kernel function parameters and genetic algorithm optimization,the failure of the test sample signal as input feature vector into trained "BT-SVM" support vector machine classification mechanism for fault classification. The difference and fault type of vibration signals can be identified by this method through the experimental analysis.

Key words： Circuit breaker vibration signal EMD energy method fault diagnosis SVM

Received: 19 March 2013 Published: 17 June 2014

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TM501

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	Sun Yihang
	Wu Jianwen
	Lian Shijun
	Zhang Luming

Cite this article:

Sun Yihang,Wu Jianwen,Lian Shijun等. Extraction of Vibration Signal Feature Vector of Circuit Breaker Based on Empirical Mode Decomposition Amount of Energy[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 228-236.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I3/228

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