Degradation and reliability assessment of accuracy life of RV reducers
XU Hang
NIE Yixuan
WEN Dongjie
REN Jihua
HONG Zhihui
Abstract：[Objective]The industrial robot industry has put forward higher requirements for RV reducers,and the precision life reflects the ability of the reducer to maintain transmission accuracy,which is one of the most important design criteria and usage indicators.To improve the precision performance of precision reducers,it is crucial to evaluate their reliability.Therefore,the degradation characteristics of precision reducers were analyzed.[Methods]Taking the RV80E reducer as an example,a random degradation model based on Gamma process was proposed.Combined with the performance degradation data of the reducer transmission accuracy,the model parameters were estimated based on the matrix method and the maximum likelihood estimation method.A Gaussian process regression model optimized by genetic algorithm was established using vibration characteristic data to optimize the prediction of transmission accuracy.[Results]The results show that the prediction accuracy based on Gaussian process regression model is significantly better than that of the traditional regression model.The posterior distribution parameters of the random degradation model are updated by using the algorithm to predict the results,which can effectively evaluate the reliability of the accuracy life of RV reducer and lay the foundation for further reliability optimization design of accuracy life.
Keywords：RV reducerAccuracy retentivityGamma processGaussian process regressionReliability assessment
Publication Date：2026-01-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 133-141 )