基于TOPSIS理论的FMEA灵敏度分析方法
Sensitivity analysis method of failure modes and effect analysis based on TOPSIS theory
-
摘要: 为解决传统失效模式与影响分析(FMEA)中风险顺序数(RPN)计算的模糊性和不确定性问题,避免其排序混乱,提出基于逼近于理想解排序技术(TOPSIS)的失效模式改进优先等级排序方法。由于发生度、严重度及探测度3个属性的权重及其属性值直接影响排序结果,给出TOPSIS理论下基于属性权重的FMEA灵敏度分析方法;并基于互换性理论中上下偏差的思想,分别对传统FMEA和TOPSIS理论下的FMEA进行属性值敏感性分析,给出相应的算法并得到各决策方法下属性值的稳定区间。以某柴油机变速器输出轴的FMEA为例进行验证,结果表明:该方法有助于确定零部件失效模式改进的优先顺序,可以增强排序结果的稳健性。Abstract: In order to solve the fuzzy and uncertain problems in calculating the risk priority number in traditional failure modes and effect analysis, avoid the chaos of its rank, a ranking method of failure mode improvement priorities based on TOPSIS theory was developed.Because the attribute weights and values of the occurrence, severity and detection will directly affect the ranking result, the sensitivity analysis method based on the attribute weights under the TOPSIS theory was developed.The sensitivity analysis of the attribute values was performed based on the idea of the upper and lower deviation in the interchangeability theory for traditional FMEA and TOPSIS-based FMEA respectively.Corresponding algorithms were established and the stable intervals of the three attribute values under each decision method were obtained.A case of failure modes and effect analysis of a certain diesel variator gear shift shaft was taken as an example to illustrate the proposed method.Results show that the proposed analysis method can help to determine the improvement priorities of the component failure modes, and enhance the robustness of the ranking results.