352 / 2021-07-12 11:01:17
A novel Fault Identification Method for Planetary Wheel of RV Reducer Based on Variational Mode Decomposition and S Transform
RV reducer; Variational mode decomposition; S transform; Marginal time spectrum; Weak fault diagnosis
Final Paper
Yu Zi / 1652670184@qq.com
Jun Zhou / Kunming University of Science and Technology
In view of the RV reducer has many vibration sources, complex vibration signals, and it is difficult to extract the internal weak fault characteristic information effectively, a weak fault diagnosis method based on the combination of variational mode decomposition and S-transform marginal spectrum (VMD-STMS) was proposed in this paper. Firstly, the signals were decomposed and de-noised by means of variational modal decomposition, and the eigenmodal functions with different center frequencies were obtained. Then the kurtosis index of the intrinsic mode function is calculated, and the IMF component with the largest kurtosis value is selected as the optimal component. Finally, the S-transform time-domain marginal spectrum method is used to identify the weak faults from the optimal components. The validity of the method is verified by analyzing and processing the weak fault data of RV reducer, such as crack and pitting of planetary gears. The analysis results accord with the theoretical value of fault frequency, and the fault type is diagnosed successfully.

 
Important Date
  • Conference Date

    Nov 01

    2022

    to

    Nov 03

    2022

  • Oct 30 2022

    Draft paper submission deadline

  • Nov 09 2022

    Registration deadline

Sponsored By
Qingdao University of Technology