Fuzzy time-variant reliability analysis of mechanical structure based on generalized degradation

被引：0
作者：
Sun X. [1 ,2 ]
Zhang J. [1 ,2 ]
Wang P. [1 ,2 ]
Peng W. [1 ,2 ]
机构：
[1] School of Reliability and System Engineering, Beijing University of Aeronautics and Astronautics, Beijing
[2] Science and Technology on Reliability and Engineering Laboratory, Beijing University of Aeronautics and Astronautics, Beijing
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2016年 / 42卷 / 08期
关键词：
Cut set; Degradation; Fuzziness; PHI2; Time-variant reliability;
D O I：
10.13700/j.bh.1001-5965.2015.0528
中图分类号：
学科分类号：
摘要：
The character that the specimen number of on-orbit mechanical products in space is small leads to the fuzziness of relative parameters and the dynamic degraded failure criterion. The existing fuzzy reliability model mainly aims at static problems, which cannot describe the time-variant and fuzzy problem. This paper proposes a fuzzy time-dependent reliability modeling and analysis method which is based on the interference model of generalized stress-strength and takes account of the fuzziness of both variables and failure criterion at the same time. First, fuzzy criterion can be transferred into random variables equivalently. Then the theory of cut set in fuzzy math can be used to deal with the fuzzy random variables, and thus the fuzzy time-variant reliability model is built. After that, a new method (FPHI2) is presented, based on the method of PHI2 which is a tool for time-variant reliability computation based on the outcrossing approach, to compute the fuzzy time-variant reliability. In the end, a numerical case and an engineering case are provided to verify the feasibility of the proposed method. © 2016, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：1731 / 1738
页数：7
相关论文
共 19 条
[1]  
Li L.Y., Lu Z.Z., Interval optimization based line sampling method for fuzzy and random reliability analysis, Applied Mathematical Modeling, 38, 13, pp. 3124-3135, (2014)
[2]  
He S.Y., On-orbit lifetime prediction and reliability evaluation of spacecraft, Spacecraft Environment Engineering, 25, 3, pp. 209-211, (2008)
[3]  
Ayyub B.M., Lai K.L., Structural reliability assessment with ambiguity and vagueness in failure, Naval Engineering Journal, 104, 3, pp. 21-35, (1992)
[4]  
Huang H.Z., Fuzzy reliability analysis of generalized static strength of mechanical structure based on fuzzy failure criterion, Journal of Mechanical Strength, 22, 3, pp. 36-41, (2000)
[5]  
Huang H.Z., Tian Z.G., Fuzzy reliability analysis based on generalized fuzzy random strength, Chinese Journal Of Mechanical Engineering, 38, 8, pp. 50-53, (2002)
[6]  
Wang L., Liu W.T., Model for structural fuzzy reliability analysis based on fuzzy random parameter, Journal of Beijing University of Aeronautics and Astronautics, 31, 4, pp. 412-415, (2005)
[7]  
Sickert J.U., Graf W., Reuter U., Et al., Application of fuzzy randomness to time-dependent reliability, Proceedings on Safety and Reliability of Engineering Systems and Structures, pp. 1709-1716, (2005)
[8]  
Fang Y.F., Chen J.J., Cao H.J., Structural dynamic reliability under Fuzzy loads with some times and fuzzy strength, Journal of Mechanical Engineering, 50, 3, pp. 192-196, (2014)
[9]  
Gao P., Yan S.Z., Xie L.Y., Dynamic fuzzy reliability models of degraded hold-down structures for folded solar array, Applied Mathematical Modeling, 38, 2, pp. 4354-4370, (2014)
[10]  
Wang Z.L., Huang H.Z., Li Y.F., Et al., An approach to system reliability analysis with fuzzy random variables, Mechanism and Machine Theory, 52, pp. 35-46, (2012)
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