Data Assimilation Algorithm for Remaining Useful Life Prediction of Aircraft Engine

Abstract

It’s a challenge to predict the remaining useful life of the aeroengine. The performance degradation of aircraft engines involves many parameters, so it is difficult to establish an accurate physical failure model. However, with time running, its performance degradation will be reflected in the change of monitoring parameters. In this paper, a kind of remaining life prediction algorithm based on data assimilation was proposed. The real-time data collected during the operation was used to predict the change trend of engine parameters, and then the remaining life of the engine was further predicted. Experiments show that the prediction method of engine remaining life based on data assimilation has better effects, which provides a new idea and method for engine remaining life prediction.