提出一种改进失效模式与影响分析(Failure Mode and Effect Analysis，FMEA)模型用于智能制造系统可靠性风险评估。首先基于文献法、专家访谈和鱼骨图分析法，从人、机、料、法、环(Human-Machine-Material-Method-Environment，4M1E)五个方面识别智能制造运行过程中的潜在失效模式;其次使用三角模糊数获取专家对失效模式的风险评估信息，风险因子权重由结构熵权法计算确定;最后运用模糊C均值(Fuzzy C-Means，FCM)算法划分失效模式的风险等级。此外，为了检验结果的有效性和可靠性，采用对比分析和蒙特卡洛仿真进行验证。
Reliability and risk assessment model of intelligent manufacturing system based on improved FMEA
A new Failure Mode and Effects Analysis(FMEA)model is proposed for risk assessment of the intelligent manufactur-ing system.Firstly,based on the literature method,expert interviews and fishbone diagram analysis method,the potential failure modes of intelligent manufacturing system are identified from Human-Machine-Material-Method-Environment(4M1E).Secondly,the triangular fuzzy number is used to obtain the risk assessment results of each failure mode and the weights of risk factors are determined by the structural entropy weight method.Finally,the Fuzzy C-Means(FCM)algorithm is used to divide the risk lev-els of the identified failure modes.Besides,the effectiveness and reliability of the results are verified through comparative analysis and Monte Carlo simulation experiment.
intelligent manufacturing systemFailure Mode and Effect Analysis(FMEA)reliability risk assessmentFuzzy C-Means(FCM)algorithm
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