Extraction of gearbox fault features based on segmenting with features of curve and multilevel fractional fourier transformation filtering

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (11) : 161-166.

WANG Guo-wei1,MEI Jian-min2, ZENG Rui-li2,CHANG Chun1,

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Abstract

To solve the difficulty of extracting early weak fault features of the transmission bearing, a method of multilevel fractional fourier transformation (FRFT) filtering based on segmenting with features of curve is proposed. Firstly, the time-frequency curve of a gearbox in target-gear was segmented according the features of curve,so the frequency in each segment was approximately linear. Then the best FRFT order of each segment was calculated and each segment was filtered to eliminate interference components,at last the fault features were extracted. The vibration signal was analyzed with FRFT, and the test results showed that the target order component under variably accelerated conditions can be extracted using multilevel FRFT; gear fault features can be obtained with envelope demodulation of the extracted sole order component.

Key words

segmentation based on features of curve / multilevel FRFT filtering / variably accelerated conditions / feature extraction

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WANG Guo-wei1,MEI Jian-min2, ZENG Rui-li2,CHANG Chun1, . Extraction of gearbox fault features based on segmenting with features of curve and multilevel fractional fourier transformation filtering[J]. Journal of Vibration and Shock, 2016, 35(11): 161-166

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