Research on Fault Tree Comprehensive Analysis Method Based on TOPSIS

RAO Yi; XU Bing-li; JING Tao; ZHAO Xiu-yu; ZHANG Fei

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Research on Fault Tree Comprehensive Analysis Method Based on TOPSIS

更新时间：2026-09-04

- Research on Fault Tree Comprehensive Analysis Method Based on TOPSIS
- Vol. 34, Issue 12, Pages: 28-33(2017)
- 作者机构：
  
  1. 装甲兵工程学院信息工程系,北京,100072
  2. 汕头大学机构工学院,广东,汕头,515063
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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饶毅, 徐丙立, 荆涛, 赵秀玉, 张飞. 基于TOPSIS的故障树综合分析方法研究[J]. 微电子学与计算机, 2017, 34(12): 28-33.

RAO Yi, XU Bing-li, JING Tao, et al. Research on Fault Tree Comprehensive Analysis Method Based on TOPSIS[J]. 2017, 34(12): 28-33.
饶毅, 徐丙立, 荆涛, 赵秀玉, 张飞. 基于TOPSIS的故障树综合分析方法研究[J]. 微电子学与计算机, 2017, 34(12): 28-33. DOI：

RAO Yi, XU Bing-li, JING Tao, et al. Research on Fault Tree Comprehensive Analysis Method Based on TOPSIS[J]. 2017, 34(12): 28-33. DOI：

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 this paper

a new method based on TOPSIS is proposed

which is based on the comprehensive analysis method of TOPSIS. The importance degree

the importance degree of the structure and the key importance degree are used as the analysis index to construct the integrated and quantitative Analytical method. At the same time

according to the problem that the result of TOPSIS parameter is subjective and the result is weak

the entropy weight coefficient is used to quantitatively determine the parameter weight. In addition

the concept of detection priority is proposed to solve the problem of the same result

and the bottom events with the same analysis result are sorted and the exact diagnosis sequence is obtained. It is found that the diagnostic sequence generated by this method has some improvement effect compared with the traditional method in terms of accuracy and scientificity.

关键词

Keywords

references

罗航. 故障树分析的若干关键问题研究[D]. 成都: 电子科技大学, 2008.

吕应超. 基于VC的故障树分析软件开发与研究[D]. 沈阳: 东北大学, 2010.

宋保维. 系统可靠性设计与分析[M]. 西安: 西北工业大学出版社, 2008: 112-112. DOI: 112

孔庆东. 发动机故障诊断虚拟培训系统的开发[D]. 长春: 吉林大学, 2015.

Hsu S S, Lin W Y, Stanley Lee. Group decision making for TOPSIS[C]// Ifsa World Congress % Nafips International Conference. USA: IEEE, 2001(5): 2712-2716.

刘玒玒, 汪妮, 解建仓. 基于熵权法的城市生态系统健康模糊评价[J]. 武汉大学学报(工学版), 2014, 47(6): 756-757. DOI: 756

张婕, 吴振强, 霍成义. 基于熵权系数的BWIP网络风险评估方法[J]. 计算机工程与应用, 2007, 43(15): 114-117. DOI: 114

徐达, 李闯, 李洋. 基于TOPSIS的装备维修性定性指标综合评价研究[J]. 航天控制, 2014, 32(5): 92-96. DOI: 92

鲁锋. 浅谈设备故障分析方法[J]. 冶金自动化, 2009, 33(1): 298-301. DOI: 298

张峰, 谢振华, 程江涛, 等. 改进熵系数法的预警机探测引导能力评估[J]. 火力与指挥控制, 2015, 40(2): 161-164. DOI: 161

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