Apply Degree of Match & Fuzzy Rule Based Mode for FMECA in Flight Control System

被引:0
|
作者
Gan, Luping [1 ]
Li, Yanfeng [1 ]
Xiao, Ning-Cong [1 ]
Liu, Yu [1 ]
Huang, Hong-Zhong [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 610054, Peoples R China
来源
2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE) | 2012年
关键词
FMECA; degree of matching; evidential reasoning; fuzzy rule-base; FAILURE MODE; PRIORITIZATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Failure Mode, Effecte and Criticality Analysis (FMECA) is used widely in engineering practices such as aerospace, medical facilities, naval vessels and shipping, which improves the reliability and safety of the products significantly. It can eliminate potential failures, errors and problems from design, system and process. To overcome the drawback in the traditional Risk Priority Number (RPN) [1], Gargama, H. proposes a model based on the combination DM (Degree of Match) and fuzzy rule-base employing fuzzy logic method [2]. Consider the situation that the different expert may has different opinions and knowledge backgrounds, they will give different criteria. Due to the incomplete information, less data and various uncertainties, three traditional risk factors O (Occurrence), S (Severity) and D (Detectability) can be treated as fuzzy numbers, therefore, the fuzzy linguistic terms provides a very appropriate way for modeling this case. The degree of matching is used to estimate the matching between the experimental team members' assessed information and the fuzzy number by transformation the assessed information into convex normalized fuzzy sets. An engineering example, flight control system (FCS) in unmanned vehicle, is presented to demonstrate the proposed fuzzy FMECA method. The illustrated example has shown that the proposed method advances the reliability and safety for it can model various uncertainties effectively.
引用
收藏
页码:176 / 179
页数:4
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