This analysis demonstrates reliability changes in systems subjected to varying shock magnitudes over time, indicating significant implications for engineering applications.
Shock models play a vital role in describing the lifetime behavior of the system working in a stochastic environment. The cumulative shock model is one of the widely studied models of system failure and describes the failure of a system as the accumulation of additive damage from shocks. In this paper, we study a new cumulative shock model when the magnitudes of shocks are non‐identical over time. The proposed model assumes that the magnitude of a shock changes after a random time, namely the change point. We discuss the mathematical expressions for the reliability function. While closed‐form expressions are unavailable, we further use a novel matrix‐based analytical approach to approximate the reliability of the system. We present numerical examples to illustrate our findings.
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Goyal et al. (2026) studied this question.
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