With respect to degradation data of civil aviation aircraft engine

a method which combined prior degradation information with current degradation data was proposed to assess performance reliability and residual life. Firstly

on the basis of prior degradation information

prior distributions of Wiener process parameters were confirmed. Secondly

by using Bayesian method

prior distributions could be updated to posterior distributions

and then the reliability and residual life of an engine were evaluated based on the posterior distributions. The proposed method can update the evaluation results of reliability and residual life whenever new degradation data is available. Finally

a practical example of degradation data of civil aviation aircraft engine was used to testify the validity of the proposed model. The result shows that the deviation of No.41 engine in 2000 cycles and 3000 cycles is 0.060 and 0.018

which satisfies the management requirement of engine fleet of airlines.