Reliability analysis for competitive failure processes with multi-state degradation

被引:0
作者
Jiang, Aiping [1 ]
Huang, Leqing [1 ]
Xiang, Yisha [2 ]
机构
[1] Shanghai Univ, SILC Business Sch, 20 Chengzhong Rd, Shanghai 201899, Peoples R China
[2] Texas Tech Univ, Dept Ind Mfg & Syst Engn, Lubbock, TX 79409 USA
来源
2020 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON ADVANCED RELIABILITY AND MAINTENANCE MODELING (APARM) | 2020年
基金
中国国家自然科学基金;
关键词
competitive failure; delayed time theory; degradation; CONDITION-BASED MAINTENANCE; SYSTEMS SUBJECT; POLICY; MODEL;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In order to better simulate the condition states of the system and get a more accurate reliability of the system, this paper investigates three failure modes for a single component system: multi-state degradation and two failures due to extreme shocks and cumulative shocks. A comprehensive consideration of several internal and external factors for a system with multiple condition states would make the model more practical, applicable and realistic compared with the previous researches which only consider one side. Different degradation rates and shock rates are used simultaneously in one model, considering the different states of the system. Deterioration level and effects of shocks, corresponding system reliability is established according to the probabilistic and statistics theory. The sensitivity analysis of variables in system reliability model is also conducted to identify the most significant factors. Our results show that: (1) The system reliability decreases with accelerating rate and then the decelerating rate after reaching the peak. (2) Reliability is significantly sensitive the state transition parameters, internal degradation means and intensity of external shocks, where the company would benefit a lot from finding the optimal value of these variables, and improve the reliability of the whole system.
引用
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页数:7
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  • [1] Generalized shock models based on a cluster point process
    Bai, Han-Ming
    Li, Ze-Hui
    Kong, Xin-Bing
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2006, 55 (03) : 542 - 550
  • [2] Optimal mission duration for systems subject to shocks and internal failures
    Finkelstein, Maxim
    Levitin, Gregory
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2018, 232 (01) : 82 - 91
  • [3] Reliability analysis for a Wiener degradation process model under changing failure thresholds
    Gao, Hongda
    Cui, Lirong
    Kong, Dejing
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 171 : 1 - 8
  • [4] Residual-life distributions from component degradation signals: A Bayesian approach
    Gebraeel, NZ
    Lawley, MA
    Li, R
    Ryan, JK
    [J]. IIE TRANSACTIONS, 2005, 37 (06) : 543 - 557
  • [5] Mixed shock models
    Gut, A
    [J]. BERNOULLI, 2001, 7 (03) : 541 - 555
  • [6] A SYSTEM RELIABILITY MODEL WITH CLASSES OF FAILURES
    HAC, A
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 1985, 34 (01) : 29 - 33
  • [7] Reliability analysis for dependent competing failure processes with changing degradation rate and hard failure threshold levels
    Hao, Songhua
    Yang, Jun
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 118 : 340 - 351
  • [8] Remaining Useful Life Prediction for a Nonlinear Heterogeneous Wiener Process Model With an Adaptive Drift
    Huang, Zeyi
    Xu, Zhengguo
    Wang, Wenhai
    Sun, Youxian
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2015, 64 (02) : 687 - 700
  • [9] An inspection-maintenance model for systems with multiple competing processes
    Li, WJ
    Pham, H
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2005, 54 (02) : 318 - 327
  • [10] A value-based preventive maintenance policy for multi-component system with continuously degrading components
    Liu, Bin
    Xu, Zhengguo
    Xie, Min
    Kuo, Way
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2014, 132 : 83 - 89