Dependent Competing Risks Modeling for Mechanical Systems Under Component and Performance Failure

被引:0
作者
Liu, Jingyi [1 ]
Zhang, Yugang [1 ]
Song, Bifeng [1 ]
机构
[1] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China
来源
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING | 2019年 / 5卷 / 02期
关键词
mechanical system; competing failure probability; degradation; BM with nonlinear drift; FGM copula; RELIABILITY-ANALYSIS; SUBJECT;
D O I
10.1115/1.4041849
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper establishes a competing failure analysis model for complex mechanical system under component failure and performance failure considering degradation. Traditionally, mechanical system is composed by a number of components. Meanwhile, mechanical system has the ability to accomplish its specific performance. Therefore, mechanism may fail because of two kinds of failure modes, the component failure due to degradation (such as component wear) and the performance failure (system couldn't complete performance). The two failure modes compete with each other because as soon as one mode occurs the system just fails. The component will degrade with time as system operates as well as the system performance. In this paper, Brownian motion (BM) with nonlinear drift is used to model the degradation of components based on which component failure is analyzed. The function of performance measurement is built by surrogate and performance failure is analyzed by it at different working circulation. Farlie-Gumbel-Morgenstern (FGM) copula is introduced to describe the dependence. The system reliability is analyzed by FGM copula as well as competing failure probability for each failure mode. Finally, a numerical example and an engineering case study are used to illustrate the proposed model.
引用
收藏
页数:8
相关论文
共 30 条
  • [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] Cai Jing, 2012, China Mechanical Engineering, V23, P1408, DOI 10.3969/j.issn.1004-132X.2012.12.005
  • [3] Reliability models of wind farms considering wind speed correlation and WTG outage
    Chen, Fan
    Li, Fangxing
    Wei, Zhinong
    Sun, Guogiang
    Li, Jun
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2015, 119 : 385 - 392
  • [4] An extended extreme shock maintenance model for a deteriorating system
    Chen, Jinyuan
    Li, Zehui
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2008, 93 (08) : 1123 - 1129
  • [5] MODELS FOR VARIABLE-STRESS ACCELERATED LIFE TESTING EXPERIMENTS BASED ON WIENER-PROCESSES AND THE INVERSE GAUSSIAN DISTRIBUTION
    DOKSUM, KA
    HOYLAND, A
    [J]. TECHNOMETRICS, 1992, 34 (01) : 74 - 82
  • [6] A reliability model for a three-state degraded system having random degradation rates
    Eryilmaz, Serkan
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2016, 156 : 59 - 63
  • [7] Function failure and failure boundary analysis for an aircraft lock mechanism
    Guo, Wei
    Cui, Weimin
    Shi, Yu
    Liu, Jingyi
    Song, Bifeng
    [J]. ENGINEERING FAILURE ANALYSIS, 2016, 70 : 428 - 442
  • [8] Reliability and Maintenance Modeling for Dependent Competing Failure Processes With Shifting Failure Thresholds
    Jiang, Lei
    Feng, Qianmei
    Coit, David W.
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2012, 61 (04) : 932 - 948
  • [9] THE DETERMINATION OF THE PROBABILISTIC PROPERTIES OF VELOCITIES AND ACCELERATIONS IN KINEMATIC CHAINS WITH UNCERTAINTY
    LEE, SJ
    GILMORE, BJ
    [J]. JOURNAL OF MECHANICAL DESIGN, 1991, 113 (01) : 84 - 90
  • [10] Experimental and numerical analysis on fatigue durability of single-lap joints under vibration loads
    Li, Weidong
    Zhou, Shenguang
    Shi, Zhiwei
    Wang, Xiaoxiao
    Hu, Ping
    [J]. JOURNAL OF ADHESION, 2017, 93 (03) : 187 - 203