The monitoring information has been utilized and fused for performance degradation evaluation.In consideration of random and error information

Bayesian linear model has been used for performance degradation evaluation of aircraft engine.The result of the performance degradation evaluation has been seen as input variable

and the reliability evaluation model has been built based on gamma random process which was used for forecasting residual life under predetermined reliability index.For example

the effect of different monitoring parameters on residual useful life prediction was analyzed.The method can integrate performance monitoring with reliability analysis into one framework

which utilizes monitoring information adequately. As a result of above

the goal of an accurate prediction of residual useful life has been achieved

which accords with the demand of maintenance risk control for aircraft engines.