基于信息熵及专家群决策的失效模式风险评估  

Risk Assessment of Failure Mode Based on Information Entropy and Expert Group Decision

作　　者：张家贤 余洪 涂继亮[1] ZHANG Jia-xian;YU Hong;TU Ji-liang(College of Information Engineering,Nanchang Hangkong University,Nanchang Jiangxi 330063,China;Jiangxi Hongdu Aviation Industry Group Corporation Limited,Nanchang Jiangxi 330024,China)

机构地区：[1]南昌航空大学信息工程学院,江西南昌330063 [2]江西洪都航空工业集团有限公司,江西南昌330024

出　　处：《计算机仿真》2022年第11期501-505,共5页Computer Simulation

基　　金：中国博士后科学基金面上项目(2019M662259);江西省教育厅科技项目(GJJ180521);教育部高校人文社科项目(20YJC880087);南昌航空大学研究生创新专项基金项目(YC2021-028);南昌航空大学三小基金项目(2021XG110)。

摘　　要：风险优先数作为常用的失效模式风险评估方法通常取决于专家组成员的经验与个人看法,会导致评估结果具有非客观性和不稳定性。为了解决上述问题,提出一种基于信息熵及专家群决策的失效模式风险评估方法,针对专家组成员对每种失效模式的发生度、严酷度、难检度三种风险因子的模糊语言评价,利用专家评价语言的信息熵确定该专家在不同的失效模式中对于三种风险因子的权重。依据模糊信息融合理论结合RPN值即可对失效模式风险进行排序。应用实例说明了上述方法的具体实现过程,验证了其可行性与有效性,并进行了敏感性分析。As a commonly used failure mode risk assessment method,risk priority number usually depends on the experience and personal views of expert group members,which will lead to non objectivity and instability of assessment results.In order to solve this problem,a failure mode risk assessment method based on information entropy and expert group decision-making is proposed.Aiming at the fuzzy language evaluation of the occurrence degree,severity degree and difficulty of detection of each failure mode,the information entropy of expert evaluation language was used to determine the weight of the expert for the three risk factors in different failure modes.According to fuzzy information fusion theory and RPN value,failure mode risk can be ranked.An example was given to illustrate the implementation process of this method,and its feasibility and effectiveness were verified,and the sensitivity analysis was carried out.

关 键 词：信息熵 群决策 失效模式评估 模糊信息融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]