Optimisation of maintenance policies for a deteriorating multi-component system under external shocks

被引:10
作者
Dui, Hongyan [1 ]
Zhang, Hao [2 ]
Wu, Shaomin [3 ]
机构
[1] Zhengzhou Univ, Sch Management, Zhengzhou 450001, Peoples R China
[2] Natl Univ Singapore, Coll Design & Engn, Singapore, Singapore
[3] Univ Kent, Kent Business Sch, Canterbury CT2 7FS, England
基金
中国国家自然科学基金;
关键词
System reliability; Preventive maintenance; Importance measure; Degradation; INTEGRATED IMPORTANCE MEASURE; RELIABILITY-ANALYSIS; SUBJECT;
D O I
10.1016/j.ress.2023.109415
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Many engineering systems are affected by shocks from their operating environments. When the state of a component degrades to a certain threshold level, preventive maintenance is needed for the purpose of reliability improvement. However, existing studies usually ignore the impact of shocks on different components of a system and therefore on the maintenance policies. This paper proposes to model the degradation processes of components with a k-dimensional Wiener process. Under both deterministic and stochastic environmental conditions, the Eyring model is used to measure the environmental importance of the multi-dimensional degradation process. Based on different failure scenarios, different maintenance strategies are therefore proposed. A periodic inspection policy is considered for each component that may fail due to external shocks. As for multiple components, the maintenance priority is determined based on the joint importance, and optimal preventive maintenance is obtained under the constraint of limited resources. Finally, a robot system is taken as an example to illustrate the proposed methods.
引用
收藏
页数:10
相关论文
共 36 条
  • [1] Application of integrated factor evaluation-analytic hierarchy process-T-S fuzzy fault tree analysis in reliability allocation of industrial robot systems
    Bai, Bin
    Xie, Chuxiong
    Liu, Xiangdong
    Li, Wei
    Zhong, Weiyu
    [J]. APPLIED SOFT COMPUTING, 2022, 115
  • [2] Birnbaum Z.W., 1969, IMPORTANCE DIFFERENT
  • [3] Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance
    Cai, Baoping
    Zhang, Yanping
    Wang, Haifeng
    Liu, Yonghong
    Ji, Renjie
    Gao, Chuntan
    Kong, Xiangdi
    Liu, Jing
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 209
  • [4] Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study
    Cai, Baoping
    Fan, Hongyan
    Shao, Xiaoyan
    Liu, Yonghong
    Liu, Guijie
    Liu, Zengkai
    Ji, Renjie
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 151
  • [5] Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study
    Cai, Baoping
    Shao, Xiaoyan
    Liu, Yonghong
    Kong, Xiangdi
    Wang, Haifeng
    Xu, Hongqi
    Ge, Weifeng
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (07) : 5737 - 5747
  • [6] Availability-based engineering resilience metric and its corresponding evaluation methodology
    Cai, Baoping
    Xie, Min
    Liu, Yonghong
    Liu, Yiliu
    Feng, Qiang
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 172 : 216 - 224
  • [7] Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network
    Chen, Rentong
    Zhang, Chao
    Wang, Shaoping
    Zio, Enrico
    Dui, Hongyan
    Zhang, Yadong
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 230
  • [8] 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
  • [9] [兑红炎 Dui Hongyan], 2022, [运筹与管理, Operations Research and Management Science], V31, P100
  • [10] Data-Driven Maintenance Priority and Resilience Evaluation of Performance Loss in a Main Coolant System
    Dui, Hongyan
    Xu, Zhe
    Chen, Liwei
    Xing, Liudong
    Liu, Bin
    [J]. MATHEMATICS, 2022, 10 (04)