Reliability Analysis for Multi-Component Systems Subject to Multiple Dependent Competing Failure Processes

被引:192
|
作者
Song, Sanling [1 ]
Coit, David W. [1 ]
Feng, Qianmei [2 ]
Peng, Hao [3 ]
机构
[1] Rutgers State Univ, Dept Ind & Syst Engn, Piscataway, NJ 08854 USA
[2] Univ Houston, Dept Ind Engn, Houston, TX 77204 USA
[3] Eindhoven Univ Technol, Dept Ind Engn & Innovat Sci, NL-5600 MB Eindhoven, Netherlands
基金
美国国家科学基金会;
关键词
Multiple dependent competing failure processes (MDCFP); multi-component systems; degradation; random shocks; preventive maintenance; BURN-IN; MAINTENANCE; MODEL;
D O I
10.1109/TR.2014.2299693
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
For complex multi-component systems with each component experiencing multiple failure processes due to simultaneous exposure to degradation and shock loads, we developed a new multi-component system reliability model, and applied two different preventive maintenance policies. This new model extends previous research, and is different from related previous research by considering an assembled system of degrading components with s-dependent failure times resulting from shared shock exposure. Previous research primarily pertained to a single component or simple system, or systems with s-independent failure processes and failure times. In our new system model, the individual failure processes for each component and the component failure processes are all s-dependent. These models can be applied directly, or customized for many complex systems with multiple components that experience s-dependent competing failure processes. In this model, each component can fail due to a soft failure process, or a hard failure process. These two component failure processes are mutually competing and s-dependent. If one component fails relatively frequently, it is likely that the number of shocks is relatively large, and these shocks impact all components potentially causing them to fail more often as well. Therefore, failure processes of all components are also s-dependent. An age replacement policy and an inspection-based maintenance policy are applied for a system with multiple components. The optimal replacement interval or inspection times are determined by minimizing a cost rate function. The model is demonstrated on several examples.
引用
收藏
页码:331 / 345
页数:15
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