Maintenance optimization of a system subject to two-stage degradation, hard failure, and imperfect repair

被引:7
|
作者
Pedersen, Tom Ivar [1 ]
Liu, Xingheng [1 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, Dept Mech & Ind Engn, N-7491 Trondheim, Norway
关键词
Maintenance optimization; Imperfect repair; Hard failure; Condition-based maintenance (CBM); Long-run cost rate; Process industry; INVERSE GAUSSIAN PROCESS; DETERIORATING SYSTEM; MODEL; POLICY; PROGNOSTICS; COMPONENTS; SURVIVAL;
D O I
10.1016/j.ress.2023.109313
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper develops a condition-based maintenance (CBM) policy for a two-component system subject to continuous degradation and hard failure. The cumulative degradation of one of the components is modeled by a two-stage degradation process, which then determines the failure probability of the other component via a proportional hazards model. Imperfect repair reduces the degradation level without changing the degradation rate, whereas preventive renewal restores both components to the as-good-as-new condition. The CBM policy is optimized by finding the imperfect repair threshold and the preventive renewal time that minimize the long-run cost rate. We propose a numerical procedure to find the solution without Monte Carlo simulation. Furthermore, the modeling framework is flexible enough to account for maintenance delay and opportunistic maintenance. A case study of the maintenance of a cooling system taken from a company in the process industry is presented to illustrate the applicability of the proposed maintenance policy.
引用
收藏
页数:11
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