2013
DOI: 10.1016/j.apm.2012.09.055
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Reliability of a multi-state system subject to shocks using phase-type distributions

Abstract: The reliability of a multi-state system is considered. The system is subject to both internal wear-out and external shocks causing damage that cumulates as shocks follow one another. As a consequence of this cumulating damage, the system wear-out process can be affected. The study of the system is achieved by means of phase-type distributions, which are used to model: the inter-arrival times between shocks, the magnitude of the damage due to the shocks, and the lifetime distribution of the system between shock… Show more

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Cited by 42 publications
(15 citation statements)
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“…Then, the phase type representation for the survival function of the series system is obtained from (16). If for example j = 2, then …”
Section: Two-component Series or Parallel Systemmentioning
confidence: 99%
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“…Then, the phase type representation for the survival function of the series system is obtained from (16). If for example j = 2, then …”
Section: Two-component Series or Parallel Systemmentioning
confidence: 99%
“…2 = M (2) in (16). After simple matrix manipulations, the mean time spent by the system in state "2" or above is found to be E(T ≥2 S−P ) = 10.8343.…”
Section: Two-component Series or Parallel Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…A host of researches has demonstrated the efficiency of phase-type distribution in constructing reliability models in recent literatures. Segovia and Labeau 16 developed a reliability model for a system subject to both internal wear-out and external shocks causing cumulating damage. Eryilmaz 17 discussed an extreme shock model with two thresholds, which generate a multi-state system.…”
Section: Introductionmentioning
confidence: 99%
“…Shocks, affecting systems during operation, are common in practice (eg, electrical, thermal, and seismic shocks). On the other hand, from the modeling point of view, they constitute a useful tool for describing an effect of environment on reliability characteristics of engineering systems (see, eg, the works of Castro, Castro et al (2011), Montoro‐Cazorla et al, Frostig and Kenzin, Montoro‐Cazorla and Pérez‐Ocón, Huynh et al, van der Weide and Pandey, Nakagawa, Finkelstein and Cha, Mercier and Pham, Segovia and Labeau, and Sheu et al to name a few).…”
Section: Introductionmentioning
confidence: 99%