基于模糊TOPSIS-FMEA的飞机IDG风险评价

在传统飞机电源系统失效模式及影响分析(failure mode and effects analysis, FMEA)法中, 采用风险评价指标属性值简单相乘的方法计算风险优先数, 造成风险评价指标不精确, 且主观因素导致属性值发生微小变化, 影响最终评价结果。通过在发生度、严重度和探测度这3个风险评价指标中引入模糊逼近理想解排序法(technique for order preference by similarity to an ideal solution, TOPSIS)理论进行风险评价, 去模糊化和归一化后构造加权判断矩阵, 确定逼近理想解排序法的正负理想解, 根据相对贴近度大小对各故障模式进行风险水平排序。与传统失效模式及影响分析法的对比验证了方法的有效性和实用性, 可为飞机电源系统其他组件风险水平评价提供有效参考。

Risk assessment of aircraft IDG based on fuzzy TOPSIS-FMEA

Due to simply multiplication when the risk priority numbers are calculated in traditional failure mode and effects analysis (FMEA), the risk evaluation indicators are inaccurate. And the slight changes of attribute values, caused by subjective factors, have a great impact on the final result. The fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) theory is introduced into the occurrence, severity and detection degree to conduct a risk assessment, and after defuzzification and normalization, the weighted judgment matrix is constructed. Meanwhile, the positive and negative ideal solutions are determined by the technique for sequencing by approximate ideal solution, and the risk level of each fault mode is ranked according to the size of relative closeness. Compared with the traditional failure mode and effects analysis, the effectiveness and practicability of this method are verified, which can provide effective reference to the risk level assessment for other components of aircraft power system.