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

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.