基于TOPSIS的故障树综合分析方法研究

发布时间：2018-03-26 14:45

本文选题：故障树分析　切入点：TOPSIS　出处：《微电子学与计算机》2017年12期

【摘要】：针对传统故障树分析得到的诊断序列存在局部最优的问题,研究提出基于TOPSIS的综合分析方法,以概率重要度、结构重要度、关键重要度为分析指标,构建集定量与定性为一体的综合分析方法.同时,针对TOPSIS参数权重主观确定而导致的结果合理性弱的问题,引入熵权系数定量确定参数权重.另外,针对可能出现多个底事件分析结果相同的问题,提出检测优先级的概念,对分析结果相同的底事件进行二次排序,得到准确的诊断序列.通过实例验证发现,本方法所生成的诊断序列较传统方法在准确性和科学性方面具有一定的改进效果.
[Abstract]:In view of the problem of local optimum in the diagnosis sequence obtained by traditional fault tree analysis, a comprehensive analysis method based on TOPSIS is proposed, which takes probability importance, structure importance and critical importance as analysis indexes. In order to solve the problem of weak rationality caused by subjective determination of TOPSIS parameter weight, entropy weight coefficient is introduced to determine parameter weight quantitatively. In order to solve the problem that multiple bottom events may have the same results, the concept of detection priority is put forward, and the secondary ranking of the bottom events with the same analysis result is carried out, and the accurate diagnosis sequence is obtained. The diagnostic sequence generated by this method is more accurate and scientific than the traditional method.
【作者单位】：装甲兵工程学院信息工程系;汕头大学工学院;
【基金】：国家自然科学基金项目(41271402) 装备维修计划项目(2013ZJ56)
【分类号】：TP277

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