交叉与前沿

基于T-S模糊故障树的多态系统性能可靠性

  • 孙利娜 ,
  • 黄宁 ,
  • 仵伟强 ,
  • 李心坤
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  • 北京航空航天大学可靠性与系统工程学院 北京 100191
孙利娜,女,1992年出生。主要研究方向为网络可靠性。

网络出版日期: 2016-05-15

基金资助

国家自然科学基金(61304220)和北京市自然科学基金(4113074)资助项目

Performance Reliability of Polymorphic Systems by Fuzzy Fault Tree Based on T-S Model

  • SUN Lina ,
  • HUANG Ning ,
  • WU Weiqiang ,
  • LI Xinkun
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  • School of Reliability and Systems Engineering, Beihang University, Beijing 100191

Online published: 2016-05-15

摘要

T-S模糊故障树是由一系列具有 IF-THEN 规则的 T-S逻辑门构成的故障树,可以解决复杂系统可靠性分析中故障多态、故障机理不明确、底事件失效率难以精确得知的问题。目前该方法主要分析系统中的功能故障问题。实际中,复杂多态系统内部很多故障常常会造成性能降级,出现多性能状态,进而系统在不同的故障状态下具有不同的性能可靠性。通过对T-S模糊故障树所表示的系统赋予性能变量及故障多态下的不同性能值,利用统计学中的期望思想,提出一种分析系统故障多态下的性能可靠性方法,以及已知某一底事件或中间事件在故障状态下分析系统性能可靠性的方法。通过对目前大型飞机上常用的航空电子交互式以太网(Avionics full duplex switched ethernet,AFDX)进行分析建树,利用该方法求解系统在多故障状态下的性能可靠性,进行了实例分析。

本文引用格式

孙利娜 , 黄宁 , 仵伟强 , 李心坤 . 基于T-S模糊故障树的多态系统性能可靠性[J]. 机械工程学报, 2016 , 52(10) : 191 -198 . DOI: 10.3901/JME.2016.10.191

Abstract

T-S fuzzy fault tree is a kind of fault tree constructed by a series of T-S gates with IF-THEN logic. This can solve the multi-state issue, uncertainty of failure mechanism, and that failure rate of the basic event is not accurately known in complex systems. Currently, this method mainly analyzes the system function failures. As a result, system has different performance reliability under different fault conditions. In practice, many of the internal failures of complex polymorphic systems often cause performance degradation, and multiple performance status appears. By using the expectation theory of statistics, giving performance variable for system and different performance values at different fault conditions, a method analyzing the performance reliability of a polymorphic system has been proposed. This method can also compute conditional expected performance reliability in condition of knowing the basic event’s or middle event’s failure. The performance reliability of avionics full duplex switched ethernet(AFDX), which is currently used on large aircraft, is analyzed by this method.

参考文献

[1] LEE W, GROSH D L, TILLMAN F A, et al. Fault tree analysis, methods, and applications:A review[J]. Reliability, IEEE Transactions on. 1985, 34(3): 194-203.
[2] 戚珩,李光,姜晨,等.基于贝叶斯网络的复杂系统多态可靠性分析[J].现代制造工程,2014(1):92-96.
QI Heng, LI Guang, JIANG Chen, et al. Reliability analysis of multi-state system based on Bayesian networks[J]. Moder Manufacturing Engineering,2014(1):92-96.
[3] TANAKA H, FAN L T, LAI F S, et al. Fault-tree analysis by fuzzy probability[J]. IEEE Transactions on Reliability,1983, 32(5):453-457.
[4] SINGER D. A fuzzy set approach to fault tree and reliability analysis[J]. Fuzzy Sets and Systems, 1990, 34(2):145-155.
[5] SURESH P V, BABAR A K, RAJ V V. Uncertainty in fault tree analysis:A fuzzy approach[J]. Fuzzy Sets and Systems, 1996, 83(2):135-141.
[6] PAN H, YUN W. Fault tree analysis with fuzzy gates[J]. Computers & Industrial Engineering, 1997, 33(3):569-572.
[7] LIN C, WANG M. Hybrid fault tree analysis using fuzzy sets[J]. Reliability Engineering and System Safety, 1997, 58(3):205-213.
[8] 宋华,张洪钺,王行仁.T-S模糊故障树分析方法[J].控制与决策, 2005(8):854-859.
SONG Hua, ZHANG Hongyue, WANG Xingren. Fuzzy fault tree analysis based on T-S model[J]. Control and Decision, 2005, 20(8):854-858.
[9] 陈东宁,姚成玉.基于模糊贝叶斯网络的多态系统可靠性分析及在液压系统中的应用[J].机械工程学报, 2012,48(16):175-183.
CHEN Dongning, YAO Chengyu. Reliability analysis of multi-state system based on fuzzy Bayesian networks and application in hydraulic system[J]. Journal of Mechanical Engineering, 2012, 48(16):175-183.
[10] LAVASANI S M, ZENDEGANI A, CELIK M. An extension to fuzzy fault tree analysis (FFTA) application in petrochemical process industry[J]. Process Safety and Environmental Protection, 2015, 93:75-88.
[11] SENOL Y E, AYDOGDU Y V, SAHIN B, et al. Fault tree analysis of chemical cargo contamination by using fuzzy approach[J]. Expert Systems with Applications, 2015, 42(12):5232-5244.
[12] QI J, HU X, GAO X. Quantitative risk analysis of subsea pipeline and riser: an experts’ assessment approach using fuzzy fault tree[J]. International Journal of Reliability and Safety, 2014, 8(1):33-50.
[13] 姚成玉,陈东宁,王斌.基于T-S故障树和贝叶斯网络的模糊可靠性评估方法[J].机械工程学报, 2014,50(2):193-201.
YAO Chengyu, CHEN Dongning, WANG Bin. Fuzzy reliability assessment method based on T-S fault tree and Bayesian network[J]. Journal of Mechanical Engineering,2014,50(2):193-201.
[14] 姚成玉,张荧驿,陈东宁,等.T-S模糊重要度分析方法研究[J].机械工程学报,2011,47(12):163-169.
YAO Chengyu, ZHANG Yingyi, CHEN Dongning, et al. Research on T-S fuzzy importance analysis methods[J]. Journal of Mechanical Engineering, 2011, 47(12):163-169.
[15] 唐宏宾,吴运新.基于T-S模糊故障树的混凝土泵车泵送液压系统故障诊断[J].计算机应用研究,2012(2):561-564.
TANG Hongbin, WU Yunxin. Fault diagnosis of hydraulic system of concrete pump truck based on T-S fuzzy fault tree analysis[J]. Application Research of Computers,2012(2):561-564.
[16] 陈东宁,姚成玉,党振.基于T-S模糊故障树和贝叶斯网络的多态液压系统可靠性分析[J].中国机械工程,2013(7):899-905.
CHEN Dongning, YAO Chengyu, DANG Zhen. Reliability analysis of multi-state hydraulic system based on T-S fuzzy tree and Bayesian network[J]. China Mechanical Engineering,2013(7):899-905.
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