Reliability Prediction of RV Reducer Based on Fault Tree and Monte-Carlo Simulation

Wavelet de-nosing method for complex signal is put forward in this paper. The time resolution and frequency resolution are changed as wavelet transform for signal analysis. It uses high-frequency resolution and low time resolution in low frequency analysis, and uses low-frequency resolution and high time resolution in high frequency analysis. So it fit the uncertainty principle and realize the signal time domain and in frequency domain at the same time. In this paper, the configuration of RV reducer is briefly introduced, and its fault tree is constructed taking the fault of “Output shaft can not transfer torque” as top event through illuminating potential system unit failures and analyze the effect on whole system. And then system reliability qualitative and quantitative analysis are conducted. The fault tree qualitative analysis is operated based on the minimal cut set. Followed establishing simulation model of RV reducer, system life time is obtained using Monte-Carlo random sampling method. Furthermore, system life distribution is deduced, and point and confidence interval of distribution parameters and reliability characters are given by Maximum Likelihood Estimate. Finally, simulation experiment and results analysis are given to show the effectiveness of this method.