基于振动信号时频图像识别的高压断路器分闸缓冲器状态评估

doi:10.19595/j.cnki.1000-6753.tces.181030

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Abstract The working performance of opening damper directly affects the opening mechanical characteristics and components life of high-voltage circuit breakers (HVCBs). The method of time-frequency analysis can reveal exactly the frequency components and time-varying characteristics of vibration signals of HVCB. Time-frequency image which constructed by using the time-frequency analysis method contains rich feature information of HVCB’s working condition. In this paper, a novel condition evaluation method for the opening damper of HVCB based on vibration time-frequency image and support vector machine (SVM) is proposed and analyzed. Firstly, the vibration signal is converted into time-frequency image by using wavelet transform (WT). Then, texture features and shape features of the time-frequency image are extracted as eigenvectors. Finally, SVM is used to classify the working status of the opening damper. The experimental results show that the method can effectively evaluate the condition of the opening damper. The method presented in this paper is almost newly for fault diagnosis of HVCB, especially for monitoring and diagnosis of HVCB’s opening damper.

Key words： High-voltage circuit breakers (HVCBs) opening damper condition evaluation vibration time-frequency image wavelet transform (WT) support vector machine (SVM)

Received: 14 June 2018 Published: 12 October 2019

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TM561

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	Yang Qiuyu
	Ruan Jiangjun
	Huang Daochun
	Zhuang Zhijian

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Yang Qiuyu,Ruan Jiangjun,Huang Daochun等. Opening Damper Condition Evaluation Based on Vibration Time-Frequency Images for High-Voltage Circuit Breakers[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4048-4057.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181030 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I19/4048

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