Research on Fault Prediction and Health Management Technology Based on Machine Learning

Abstract

With the continuous development of fault detection and identification technology of complex equipment systems, the traditional fault identification technology has been slightly insufficient. Now artificial intelligence is applied to the field of large-scale information system fault identification. In order to find and judge information system faults more accurately, this paper proposes a fault identification method based on machine learning. Firstly, the fault data characteristics are analyzed and the fault information identification method is obtained. Then, based on the fault information feature words, the algorithm for correlating invalid rules is obtained. Based on the association failure model, the fault identification algorithm is obtained. Finally, the information system fault data management and fault identification prototype system is developed.