• Laser & Optoelectronics Progress
  • Vol. 59, Issue 23, 2312002 (2022)
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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    DOI: 10.3788/LOP202259.2312002 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Schematic diagram of three mirror cavity
    Fig. 1. Schematic diagram of three mirror cavity
    Waveform of output power P when C = 1.3, A=1.5λ0, and α=3
    Fig. 2. Waveform of output power P when C = 1.3, A=1.5λ0, and α=3
    Schematic diagram of detection platform
    Fig. 3. Schematic diagram of detection platform
    SMI waveform of 47 tooth wear fault of sun wheel
    Fig. 4. SMI waveform of 47 tooth wear fault of sun wheel
    IMF component Ⅰ of HHT
    Fig. 5. IMF component Ⅰ of HHT
    IMF component Ⅱ of HHT
    Fig. 6. IMF component Ⅱ of HHT
    IMF component Ⅲ of HHT
    Fig. 7. IMF component Ⅲ of HHT
    IMF component Ⅳ of HHT
    Fig. 8. IMF component Ⅳ of HHT
    Hilbert spectrum of gear wear fault
    Fig. 9. Hilbert spectrum of gear wear fault
    CompositionDriving wheelSun wheelPlanet wheelOutput shaft
    Number of teeth1147 and 1259 and 1555
    Rated speed /(r·s-1125.81529.4465.9891.634
    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-1143.277780.666670.18181
    Table 2. Number of teeth and speed regulation 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
    Table 3. Hilbert spectrum data
    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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