Health index construction and remaining useful lifetime prediction of aviation products based on multi-source degradation data fusion

Abstract

Aiming at the problem that aviation products generally have multiple performance degradation indicators, which lead to difficulty in extracting degradation features and inaccurate prediction of remaining useful lifetime (RUL), a method for building health index and predicting RUL of aviation products based on multi-source degradation data fusion is proposed. This method is based on the accuracy of degradation modeling to construct the construction principle of health index and realizes the deep fusion of multi-source degradation data. On this basis, the distribution expression of the RUL is derived based on the distribution of the first hitting time of the Wiener process. The effectiveness of the method is verified through the example analysis.