摘要
针对传统故障模式与影响分析方法未考虑组件化设计和故障模式间相互影响的问题,提出一种组件化故障模式与影响分析方法.使用模糊数代替精确数值以描述风险因子,通过构造分层故障模式与影响分析图和影响矩阵,计算出故障模式集合上的影响向量,并以此修正传统故障模式与影响分析的风险优先数.通过对实际飞行控制系统设计的组件化故障模式与影响分析,说明这种方法的实用性,并通过与非组件化方法的仿真实验比较,说明组件化方法的分析效率优势.
The conventional approaches of failure mode and effect analysis(FMEA)have not considered the mutual-influence between failure modes as well as the component-based design of systems.In this paper,we propose a new compositional approach of FMEA.We use fuzzy numbers instead of accurate numbers to describe the risk factors such as occurrence,severity,and detection in FMEA.To improve the accuracy of conventional FMEA,we construct the hierarchical FMEA graph and the respective influence matrix for each component.Then we derive the influence vector for the failure modes and leverage this vector to amend the risk priority numbers of conventional FMEA.The analysis of a practical flight control system shows the usability of our approach.Simulation results show that our compositional approach is more efficient than the non-compositional approach.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2016年第2期174-179,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(U1135002
61303033)
国家高技术研究发展计划(863计划)资助项目(2015AA017203)
航空科学基金资助项目(2013ZC31003
20141931001)
中央高校基本科研业务费专项资金资助项目(JB140309)
关键词
故障模式与影响分析
组件化设计
模糊数
图论
failure mode and effect analysis
component-based design
fuzzy number
graph theory