Considering the characteristics of different failure modes with use of monitoring information

Gamma process

Wiener process and Weibull distribution were selected to build the reliability analysis models on aero-engine. Bayesian model averaging (BMA) was used to integrate different models into one framework for reliability analysis on aero-engines

given its function for dynamically evaluating different failure mode effects. The reliability of some onwing aero-engine was analyzed by numerical example

showing that the reliability analysis model using BMA had less error than single reliability analysis model

and computation error rate of BMA was less than 1%. The results demonstrate the effectiveness of the reliability analysis of multi-model integration.