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On the general $$\delta $$-shock model

Dheeraj Goyal, +2 more
- 01 Apr 2022 - 
- Vol. 31, Iss: 4, pp 994-1029
TLDR
In this article , the authors introduced a general $$\delta $$ -shock model when the recovery time depends on both the arrival times and the magnitudes of shocks, and also considered a more general and flexible shock process, namely, the Poisson generalized gamma process.
Abstract
The $$\delta $$ -shock model is one of the basic shock models which has a wide range of applications in reliability, finance and related fields. In existing literature, it is assumed that the recovery time of a system from the damage induced by a shock is constant as well as the shocks magnitude. However, as technical systems gradually deteriorate with time, it takes more time to recover from this damage, whereas the larger magnitude of a shock also results in the same effect. Therefore, in this paper, we introduce a general $$\delta $$ -shock model when the recovery time depends on both the arrival times and the magnitudes of shocks. Moreover, we also consider a more general and flexible shock process, namely, the Poisson generalized gamma process. It includes the homogeneous Poisson process, the non-homogeneous Poisson process, the Pólya process and the generalized Pólya process as the particular cases. For the defined survival model, we derive the relationships for the survival function and the mean lifetime and study some relevant stochastic properties. As an application, an example of the corresponding optimal replacement policy is discussed.

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Citations
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Reliability analysis of dependent competing failure processes with time-varying δ shock model

TL;DR: In this paper , a real-world example of a microelectromechanical system is presented to demonstrate the applicability of the reliability model and sensitivity analysis is evaluated to demonstrate how parameters affect reliability.
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On the occurrence time of an extreme damage in a general shock model

TL;DR: In this paper , the authors assume that a system is subject to shocks that occur according to a counting process describing the number of shocks that arrive during a specified time interval and investigate some important random variables related to this parameter.
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A new generalized δ-shock model and its application to 1-out-of-(m+1):G cold standby system

TL;DR: In this paper , a generalized version of the δ-shock model is introduced, where the system fails if there are m shocks that arrive in a time length less than δ after a previous shock, m≥1.
Journal ArticleDOI

A new generalized <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1032" altimg="si350.svg"><mml:mi>δ</mml:mi></mml:math>-shock model and its application to 1-out-of-(<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1038" altimg="si391.

TL;DR: In this article , a generalized version of the δ-shock model is introduced, where the system fails if there are m shocks that arrive in a time length less than δ after a previous shock, m≥1.
References
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Shock Models and Wear Processes

TL;DR: In this article, the life distribution of a device subject to shocks governed by a Poisson process is considered as a function of the probabilities of not surviving the first $k$ shocks.
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TL;DR: In this article, the authors extended the results obtained by Esary, Marshall and Proschan to a nonhomogeneous Poisson process and derived bounds on the moments of the life of a device subject to a given number of shocks.
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General shock models associated with correlated renewal sequences

TL;DR: In this paper, the authors define and analyze a general shock model associated with a correlated pair (Xn, Yn ) of renewal sequences, where the system fails when the magnitude of a shock exceeds (or falls below) a prespecified threshold level.
Journal ArticleDOI

Shocks, runs and random sums

TL;DR: In this paper, the authors study random variables related to a shock reliability model and obtain properties of the distribution function of the random variables involved and obtain their limit behavior when k tends to infinity or when the probability of entering a critical set tends to zero.
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Cumulative shock models

TL;DR: In this article, a theory for stopping two-dimensional random walks is used to describe cumulative shock models and limit theorems for the lifetime/failure time of a system are provided.