Laser & Optoelectronics Progress, Volume. 59, Issue 23, 2312002(2022)

Gearbox Fault Detection Based on Self-Mixing Interference Technology and Hilbert-Huang Transform

Xuming Zhou*, Peng Xu, Fenni Zhao, and Pengfei Li
Author Affiliations
  • Logistics University of People’s Armed Police Force, Tianjin 300309, China
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    Figures & Tables(12)
    Schematic diagram of three mirror cavity
    Waveform of output power P when C = 1.3, A=1.5λ0, and α=3
    Schematic diagram of detection platform
    SMI waveform of 47 tooth wear fault of sun wheel
    IMF component Ⅰ of HHT
    IMF component Ⅱ of HHT
    IMF component Ⅲ of HHT
    IMF component Ⅳ of HHT
    Hilbert spectrum of gear wear fault
    • Table 1. Number of teeth and rated speed data

      View table

      Table 1. Number of teeth and rated speed data

      CompositionDriving wheelSun wheelPlanet wheelOutput shaft
      Number of teeth1147 and 1259 and 1555
      Rated speed /(r·s-1125.81529.4465.9891.634
    • Table 2. Number of teeth and speed regulation data

      View table

      Table 2. Number of teeth and speed regulation data

      CompositionDriving wheelSun wheelPlanet wheelOutput shaft
      Number of teeth1147 and 1259 and 1555
      Rated speed /(r·s-1143.277780.666670.18181
    • Table 3. Hilbert spectrum data

      View table

      Table 3. Hilbert spectrum data

      Time /s0.57440.89051.22401.75002.06903.07603.39103.71603.96504.28404.5700
      Instantaneous frequency /Hz483.8439.2159.7432.4520.6476.8463.5225.4361.1223.9186.7
      Time interval /s/0.31610.3335/0.3190/0.31500.32500.24900.31900.2860
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    Xuming Zhou, Peng Xu, Fenni Zhao, Pengfei Li. Gearbox Fault Detection Based on Self-Mixing Interference Technology and Hilbert-Huang Transform[J]. Laser & Optoelectronics Progress, 2022, 59(23): 2312002

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Sep. 30, 2021

    Accepted: Nov. 15, 2021

    Published Online: Jan. 11, 2023

    The Author Email: Xuming Zhou (zhou05008@126.com)

    DOI:10.3788/LOP202259.2312002

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