基于模糊TOPSIS的FMEA方法

针对传统故障模式及影响分析(FMEA)中评价故障模式的影响因素和计算风险优先数存在的缺陷,提出了一种基于模糊逼近理想解排序法(TOPSIS)的FMEA方法。该方法采用模糊置信结构对影响因素的评价进行表示,并通过去模糊化和加权平均建立明确置信矩阵。考虑各影响因素的权重对分析结果的重要性,将主、客观赋权法相结合来分配各影响因素的权重,进而建立加权规范化矩阵,根据相对贴近度的大小确定各故障模式的风险水平。最后,举例验证了该方法的可行性和有效性。

Failure mode and effects analysis method based on fuzzy TOPSIS

Aiming at the defect of traditional failure mode and effects analysis (FMEA) in evaluating the effect factors of the failure mode and calculating the risk priority number, a FMEA method based on fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is proposed. This method uses fuzzy belief structure to express the evaluation of the effect factors, and adopts defuzzification and the weighted average to establish the clear belief matrix. Moreover, considering the importance of the weights of the effect factors on analysis result, the weights are determined by the combination the subjective weighting method and the objective weighting method, then the weighted normalized matrix can be constructed, and the risk level of each failure mode is ranked in the order of the relative closeness. An example is taken to validate feasibility and effectiveness of the method.