2020
DOI: 10.1002/asmb.2580
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Reliability assessment for discrete time shock models via phase‐type distributions

Abstract: In this paper, particular shock models are studied for the case when the times between successive shocks and the magnitudes of shocks have discrete phase‐type distributions. The well‐known shock models such as delta shock model, extreme shock model, and the mixed shock model which is obtained by combining delta and extreme shock models are considered. The probability generating function and recursive equation for the distribution of the system's lifetime are obtained for the cases when the interarrival times b… Show more

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Cited by 23 publications
(4 citation statements)
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“…Formerly, the shock models have been mostly studied under the assumption that the times between successive shocks follow continuous probability distribution. However, recently more attention has been paid to discrete time shock models, see, for example in References Lorvand et al, 1 Eryilmaz and Kan, 2 Poursaeed, 3 Bian et al, 4 and Ma et al 5 According to 𝛿-shock model, the system fails when the time between two consecutive shocks is less than a given critical threshold 𝛿, see Li. 6 This shock model has been widely studied under the assumption that the times between successive shocks follow continuous distribution, see, for example, Li 6 and Tuncel and Eryilmaz.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Formerly, the shock models have been mostly studied under the assumption that the times between successive shocks follow continuous probability distribution. However, recently more attention has been paid to discrete time shock models, see, for example in References Lorvand et al, 1 Eryilmaz and Kan, 2 Poursaeed, 3 Bian et al, 4 and Ma et al 5 According to 𝛿-shock model, the system fails when the time between two consecutive shocks is less than a given critical threshold 𝛿, see Li. 6 This shock model has been widely studied under the assumption that the times between successive shocks follow continuous distribution, see, for example, Li 6 and Tuncel and Eryilmaz.…”
Section: Introductionmentioning
confidence: 99%
“…Formerly, the shock models have been mostly studied under the assumption that the times between successive shocks follow continuous probability distribution. However, recently more attention has been paid to discrete time shock models, see, for example in References Lorvand et al, 1 Eryilmaz and Kan, 2 Poursaeed, 3 Bian et al, 4 and Ma et al 5 …”
Section: Introductionmentioning
confidence: 99%
“…Several studies have been made of discrete shock models, i.e., when the interarrival times of shocks have a discrete probability distribution. See, for example, Eryilmaz [14][15][16][17], Gut [24], Aven and Gaarder [2], Nanda [39], Nair [38], Eryilmaz and Tekin [21], Eryilmaz and Kan [20], Chadjiconstantinidis and Eryilmaz [12], Lorvand et al [32,33], Lorvand and Nematollahi [31], and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Jiang 11 investigated a new δ -shock model for a system subject to multiple failure types and its optimal order-replacement policy. Eryilmaz and Kan 12 assessed reliability for the case when times between successive shocks and the magnitudes of shocks have discrete phase-type distributions. Goyal et al 13 considered a time-dependent δ -shock model.…”
Section: Introductionmentioning
confidence: 99%