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.
鲁军, 李侠, 王重马, 于庆洋, 高琳, 吴立天. 基于小波分析的MSMA振动传感号处理与故障检测[J]. 电工技术学报, 2015, 30(10): 354-360.
Lu jun, Li Xia, Wang Zhongma, Yu Qingyang, Gao Lin, Wu Litian. Signal Process and Fault Detection of MSMA Vibration Sensor Based on Wavelet Analysis. Transactions of China Electrotechnical Society, 2015, 30(10): 354-360.
2015, Vol. 30 
