A Fault Diagnosis and Maintenance Decision System for Production Line Based on Human-machine Multi- Information Fusion

Abstract

In this paper, we describe the importance of the operation and maintenance in manufacturing systems for Manufacturing Enterprises. Through the mining of enterprise fault detection information by data mining method, we obtain the probability of machine failure. The importance of each machine in the manufacturing system is evaluated by the FUZZY FMEA method, and the importance information of the machine is obtained. Moreover, based on the D-S evidence theory, the contradictory and conflict information is merged in this paper, and a machine fault operation and maintenance decision-making system based on human-machine multi-information fusion is constructed. The feasibility of the decision-making system is verified by industrial case.