A sequential condition‐based repair/replacement policy with non‐periodic inspections for a system subject to continuous wear
A sequential condition‐based repair/replacement policy with non‐periodic inspections for a system subject to continuous wear
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DOI：
10.1002/asmb.493
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发表时间：
2003-10
影响因子：
1.4
通讯作者：
B. Castanier;C. Bérenguer;A. Grall
中科院分区：
文献类型：
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作者：
B. Castanier;C. Bérenguer;A. Grall
本文研究了一个连续状态逐渐恶化的可修系统的状态维修策略。系统可以使用不同的维护操作（部分修复，以及新的更换）进行维护，这些操作具有不同的效果（对系统状态），成本和持续时间。提出了一个参数决策框架（多阈值策略），顺序地选择最佳的维修行动，并安排未来的检查，使用从当前检查中获得的系统恶化程度的在线监测信息。利用保持系统状态的半再生（或马尔可夫更新）性质，我们构造了保持系统在稳态时的时间行为的随机模型。这个随机模型允许评估几个性能标准的维护策略，如长期运行的系统可用性和长期运行的预期维护成本。数值实验说明了所提出的基于状态的维修策略的行为。版权所有© 2003年约翰威利父子有限公司。
This paper studies a condition-based maintenance policy for a repairable system subject to a continuous-state gradual deterioration monitored by sequential non-periodic inspections. The system can be maintained using different maintenance operations (partial repair, as good as new replacement) with different effects (on the system state), costs and durations. A parametric decision framework (multi-threshold policy) is proposed to choose sequentially the best maintenance actions and to schedule the future inspections, using the on-line monitoring information on the system deterioration level gained from the current inspection. Taking advantage of the semi-regenerative (or Markov renewal) properties of the maintained system state, we construct a stochastic model of the time behaviour of the maintained system at steady state. This stochastic model allows to evaluate several performance criteria for the maintenance policy such as the long-run system availability and the long-run expected maintenance cost. Numerical experiments illustrate the behaviour of the proposed condition-based maintenance policy. Copyright © 2003 John Wiley & Sons, Ltd.