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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Distefano, S. Longo, F. Scarpa, M. |
| Copyright Year | 2010 |
| Abstract | The increasing demand of quality presses towards more specific requirements, tighter constraints, and higher standards. It is thus necessary to provide new paradigms, techniques, and tools to adequately model and evaluate complex systems. This paper mainly focuses on reliability aspects, also taking into account dynamic-dependent interactions among components. Starting from the conservation of reliability principle, we characterize the time to failure of the system components through continuous phase type distributions. The system reliability is thus modeled by an expanded Markov chain expressed in terms of Kronecker algebra in order to face the state space explosion and to represent the memory policies related to the aging process. A two-component system is taken as example to demonstrate the effectiveness of the technique and to validate it. |
| Starting Page | 45 |
| Ending Page | 53 |
| File Size | 515543 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424490912 |
| ISSN | 15302059 |
| DOI | 10.1109/HASE.2010.28 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reliability Markov processes Algebra Generators Aging Transient analysis Conservation of Reliability Dynamic Reliability Phase Type Distributions Kronecker Algebra |
| Content Type | Text |
| Resource Type | Article |
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