4.7 Article

Condition-Based Maintenance for Repairable Deteriorating Systems Subject to a Generalized Mixed Shock Model

期刊

IEEE TRANSACTIONS ON RELIABILITY
卷 64, 期 4, 页码 1164-1174

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2015.2461217

关键词

Condition-based maintenance; degradation; generalized mixed shock model; imperfect repair; random shocks

资金

  1. USA National Science Foundation (NSF) [0970140, 0969423]
  2. Directorate For Engineering
  3. Div Of Civil, Mechanical, & Manufact Inn [0969423, 0970140] Funding Source: National Science Foundation

向作者/读者索取更多资源

Based on reliability analysis for a system subject to -dependent competing risks of internal degradation and external shocks, we propose a condition-based maintenance policy considering imperfect repair for complex systems. The internal degradation (e.g., crack growth, erosion, or corrosion) can be modeled using a stochastic deterioration process. External shocks arriving at random times are divided into two classes based on their impacts on the system: 1) fatal shocks that can cause the system to fail immediately, if a shock belongs to any of three classic shock models (i.e., extreme shock model, run shock model, and delta-shock model), or the generalized mixed shock model; and 2) non-fatal shocks that can damage the system by randomly increasing the degradation level. Using the proposed condition-based maintenance policy, the system is inspected at fixed time intervals, and a decision for an appropriate maintenance action (i.e.,no action, imperfect repair, preventive or corrective replacement) is made based on the actual health condition of the system detected through inspection. The imperfect repair restores the system by lowering the degradation amount to a certain level. The objective is to determine the optimal inspection interval that minimizes the expected long-run maintenance cost rate. A micro-electro-mechanical system example is used to evaluate the efficiency of the developed reliability and condition-based maintenance models.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据