基于小波分析的MSMA振动传感号处理与故障检测

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Abstract The induced voltage of the vibration sensor, which was made based on inverse characteristic of magnetically controlled shape memory alloy(MSMA), existed greater interference in the detected signal, the induction signal must be filtered so as to extract valid data. On the basis of the filter principles of wavelet analysis, the algorithm of daubechies 5(db5) wavelet digital filter is selected in this paper, the induced voltage signals is filtered with soft threshold in different frequency, and the fault detection can be realized by wavelet decomposing induction signal of the MSMA vibration sensor. It can be seen from the result of the signal processing that the wavelet analysis has ideal filter effect, and the wavelet analysis can be used for signal process and fault detection of MSMA vibration sensor.

Key words： MSMA vibration sensor induced voltage wavelet Analysis fault detection

Received: 29 October 2014 Published: 29 June 2015

PACS:	TM359
	TN911.72

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	Articles by authors
	Lu jun
	Li Xia
	Wang Zhongma
	Yu Qingyang
	Gao Lin
	Wu Litian

Cite this article:

Lu jun,Li Xia,Wang Zhongma等. Signal Process and Fault Detection of MSMA Vibration Sensor Based on Wavelet Analysis[J]. Transactions of China Electrotechnical Society, 2015, 30(10): 354-360.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I10/354

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