Reliability analysis for aircraft bearing with zero-failure data

For the zero-failure conditions of the aircraft bearing that may occur during the process of reliability test, on the basis of analysis about distribution of the aircraft bearing life, the problem of the test groupings was firstly analyzed according to the hierarchical Bayesian method; it was found that when the number of groupings in 6-9 was chosen, the effects of evaluation were relatively better. And the longer life of aircraft bearing indicated less number of groupings. Second, based on the optimum groupings, by analyzing the hierarchical Bayesian method and E-Bayes method, it was proved that the estimation results of the two methods were similar, but from the point of comprehensive reliability, E-Bayes method was better by comparing the estimation results based on the zero-failure data from the simulation values by Monte Carlo. Finally, the selected values of parameter c of the super prior distribution were discussed. Through comparison analysis, the relatively appropriate parameter values suitable for the aircraft bearing were found, providing a theoretical guidance for the reliability analysis of zero-failure data. An enterprise case was given to verify the conclusion.