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基于最弱t-模的飞机起落架模糊故障树分析
引用本文:刘洪健,姚军,李佩昌.基于最弱t-模的飞机起落架模糊故障树分析[J].装备环境工程,2017,14(7):103-108.
作者姓名:刘洪健  姚军  李佩昌
作者单位:北京航空航天大学 可靠性与系统工程学院,北京,100191
摘    要:目的针对飞机起落架部件失效的模糊性以及传统模糊故障树分析中采用扩展原理或区间运算而导致模糊积累的缺点,提出了一种基于最弱t-模的飞机起落架模糊故障树分析新方法。方法采用梯形模糊数表示飞机起落架部件模糊失效概率,给出最弱t-模的模糊运算法则,并利用最弱t-模法则进行模糊故障树分析。结果得到了飞机起落架系统的模糊失效概率以及部件的重要度。结论与传统模糊故障树分析方法比较,该方法具有更加灵活适用的优点,为飞机起落架可靠性评估奠定了基础。

关 键 词:模糊故障树分析  最弱t-模  飞机起落架  模糊数  可靠性评估
收稿时间:2017/3/18 0:00:00
修稿时间:2017/7/15 0:00:00

Fuzzy Fault Tree Analysis of Aircraft Landing Gear Based on Weakest T-norm
LIU Hong-jian,YAO Jun and LI Pei-chang.Fuzzy Fault Tree Analysis of Aircraft Landing Gear Based on Weakest T-norm[J].Equipment Environmental Engineering,2017,14(7):103-108.
Authors:LIU Hong-jian  YAO Jun and LI Pei-chang
Institution:School of Reliability and System Engineering, Beihang University, Beijing 100191, China,School of Reliability and System Engineering, Beihang University, Beijing 100191, China and School of Reliability and System Engineering, Beihang University, Beijing 100191, China
Abstract:Objective According to disadvantages of fuzziness on failure of landing gear components and application of extension principle and interval arithmetic in traditional fuzzy fault tree analysis leading to accumulation of fuzziness, this paper aims to propose a new analysis method for fuzzy fault of aircraft landing gear based on the weakest t-norm. Methods The fuzzy failure probability of aircraft landing gear components was represented by trapezoidal fuzzy number, and the fuzzy operation rules of the weakest t- mode were given, and the fuzzy fault tree analysis was carried out with the weakest T- norm rule. Results The fuzzy failure probability of aircraft landing gear system and the importance of components were obtained. Conclusion Compared with the traditional fuzzy fault tree analysis method, the proposed method is more flexible and applicable, which lays a foundation for the reliability assessment of aircraft landing gear.
Keywords:fuzzy fault tree analysis  weakest t-norm  aircraft landing gear  fuzzy number  reliability assessment
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