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

Zhao-Hui Sun, Renjun Liu, X. Ming
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引用次数: 6

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.
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基于人机多信息融合的生产线故障诊断与维修决策系统
本文阐述了制造系统运维对制造企业的重要性。通过数据挖掘方法对企业故障检测信息进行挖掘,得到机器故障的概率。采用模糊FMEA方法对制造系统中各机械的重要性进行评价,得到各机械的重要性信息。此外,基于D-S证据理论,将矛盾和冲突信息进行融合,构建了基于人机多信息融合的机器故障运维决策系统。通过工业实例验证了该决策系统的可行性。
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