Holographic-order envelop demodulation spectrum based on FRFT filter and early fault diagnosis of gear 

MEI Jianmin1,2, CHANG Chun2, SHEN Hong2, ZHAO Huimin2, WANG Shuangpeng2

Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (10) : 273-277.

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PDF(1232 KB)
Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (10) : 273-277.

Holographic-order envelop demodulation spectrum based on FRFT filter and early fault diagnosis of gear 

  • MEI Jianmin1,2, CHANG Chun2, SHEN Hong2, ZHAO Huimin2, WANG Shuangpeng2
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Abstract

In order to improve the accuracy and reliability of early fault diagnosis of transmission gear, a holographic- order envelop demodulation spectrum based on Fractional Fourier Transform (FRFT) filter is proposed. Firstly, the FRFT filter method is adopted to filter the vibration envelope signals in horizontal and vertical directions of the transmission acceleration process, and the modulation component is separated. Then the separated component is analyzed by order envelop demodulation spectrum, and the holographic- order envelop demodulation spectrum of modulation order component is obtained,and the pitting failure of gear is diagnosed. The experimental results show that the holographic order spectrum based on FRFT filtering combined with the characteristics of FRFT filtering to separate frequency variation components and the advantages of holographic order ratio spectrum fusion multi-dimensional features,it can not only effectively separate the modulation component from acceleration process, isolate other components and noise interference, but also effectively integrate the feature information of the two directions. Compared with the single measurement point single feature method, it is more effective in diagnosing the early pitting fault of the gear.

Key words

fractional Fourier transform (FRFT) filter / Holographic order envelop demodulation spectrum / Early failure / Weak characteristics

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MEI Jianmin1,2, CHANG Chun2, SHEN Hong2, ZHAO Huimin2, WANG Shuangpeng2. Holographic-order envelop demodulation spectrum based on FRFT filter and early fault diagnosis of gear [J]. Journal of Vibration and Shock, 2023, 42(10): 273-277

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