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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hao Peng Coit, D.W. Qianmei Feng |
| Copyright Year | 1963 |
| Abstract | This paper proposes two new importance measures: one new importance measure for systems with -independent degrading components, and another one for systems with -correlated degrading components. Importance measures in previous research are inadequate for systems with degrading components because they are only applicable to steady-state cases and problems with discrete states without considering the continuously changing status of the degrading components. Our new importance measures are proposed as functions of time that can provide timely feedback on the critical components prior to failure based on the measured or observed degradation. Furthermore, the correlation between components is considered for developing these importance measures through a multivariate distribution. To evaluate the criticality of components, we analysed reliability models for multi-component systems with degrading components, which can also be utilized for studying maintenance models. Numerical examples show that the proposed importance measures can be used as an effective tool to assess component criticality for systems with degrading components. |
| Sponsorship | IEEE Reliability Society |
| Starting Page | 4 |
| Ending Page | 12 |
| Page Count | 9 |
| File Size | 515122 |
| File Format | |
| ISSN | 00189529 |
| Volume Number | 61 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reliability Degradation Joints Probability density function Vectors Time measurement Numerical models system reliability models Degrading components importance measures |
| Content Type | Text |
| Resource Type | Article |
| Subject | Safety, Risk, Reliability and Quality Electrical and Electronic Engineering |
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