期刊
IEEE TRANSACTIONS ON RELIABILITY
卷 64, 期 2, 页码 754-765出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2015.2413031
关键词
Component state; importance measure; multistate system; semi-Markov processes
类别
资金
- National Natural Science Foundation of China [71271170, 51375078]
- Program for New Century Excellent Talents in University [NCET-13-0475]
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- City University of Hong Kong [7004087]
- Specialized Research Fund for Young Teachers program of Zhengzhou University [F0000492]
- Aeronautical Science Foundation of China [2014ZG53080]
Importance measures in reliability engineering are used to identify weak components of a system and signify the roles of components in contributing to proper functioning of the system. Recently, an integrated importance measure (IIM) has been proposed to evaluate how the transition of component states affects the system performance based on the probability distributions and transition rates of component states. In the system operation phase, the bathtub curve presents the change of the transition rate of component states with time, which can be described by three different Weibull distributions. The behavior of a system under such distributions can be modeled by the semi-Markov process. So, based on the reported IIM equations of component states, this paper studies how the transition of component states affects system performance under the semi-Markov process. This measure can provide useful information for preventive actions (such as monitoring enhancement, construction improvement, etc.), and provide support to improve system performance. Finally, a simple numerical example is presented to illustrate the utilization of the proposed method.
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