一种基于谱峭度的异步电机故障诊断方法

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Abstract When the induction motor fails, the fault signals are generally weak and in low frequency. If the fault couples into a composite one,nonlinear coupling between the signals will make spectrum more complicated. For above-mentioned problem, a new method is proposed, which combines the spectral kurtosis and Hilbert envelope demodulation. Firstly, Hilbert transformation is applied to obtain fault features including low-frequency envelope signal. It can highlight and separate the fault frequency components. Secondly, band pass filter whose parameters is determined by the principle of maximizing kurtosis is used to deal with the noise in signal. And then fault frequency components can be found by squared envelope spectrum. The paper also analyzes the influences of different faults vary with the changes of the load. Experimental and actual results show that this method is adaptive and efficient in single and composite faults in the cases of various noise levels and different loads.

Key words： Induction motors fault diagnosis envelope demodulation spectral kurtosis

Received: 15 March 2013 Published: 05 November 2014

PACS:

TM315

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	Zhao Yan
	Li Zhimin
	Li Tianyun

Cite this article:

Zhao Yan,Li Zhimin,Li Tianyun. A Method for Fault Diagnosis of Induction Motors Based on Spectral Kurtosis[J]. Transactions of China Electrotechnical Society, 2014, 29(5): 189-196.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I5/189

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