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Applications of fractional lower order S transform time frequency filtering algorithm to machine fault diagnosis

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  • Junbo Long
  • Haibin Wang
  • Daifeng Zha
  • Peng Li
  • Huicheng Xie
  • Lili Mao

Abstract

Stockwell transform(ST) time-frequency representation(ST-TFR) is a time frequency analysis method which combines short time Fourier transform with wavelet transform, and ST time frequency filtering(ST-TFF) method which takes advantage of time-frequency localized spectra can separate the signals from Gaussian noise. The ST-TFR and ST-TFF methods are used to analyze the fault signals, which is reasonable and effective in general Gaussian noise cases. However, it is proved that the mechanical bearing fault signal belongs to Alpha(α) stable distribution process(1

Suggested Citation

  • Junbo Long & Haibin Wang & Daifeng Zha & Peng Li & Huicheng Xie & Lili Mao, 2017. "Applications of fractional lower order S transform time frequency filtering algorithm to machine fault diagnosis," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-24, April.
    • Handle: RePEc:plo:pone00:0175202
    DOI: 10.1371/journal.pone.0175202
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