Generalized mixed shock model for multi-component systems in the shock environment with a change point

IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Xiaoyue Wang, Ru Ning, Xian Zhao
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引用次数: 3

Abstract

The reliability of various systems under shock models has been explored extensively in the literature, where the constant mechanism of shock impact has always been studied. Nevertheless, engineering systems operate in a more complicated shock environment due to developments, and it is worth studying the reliability of such multi-component systems in a variable shock environment. Driven by the research gaps and practical situations, this paper constructs a reliability model of multi-component systems under a generalized mixed shock model with a change point. The multi-state components operate in the shock environment I initially and it may continue to run in the shock environment II after the random change point of the environment. Two novel shock impact mechanisms of the variable environment are put forward, where a series of failure criteria based on shocks are included. Four different structures of multi-component systems are considered in this paper. It can be proved that the proposed mixed shock model is a generalization of some transformed models. A multi-stage finite Markov chain imbedding approach is established to derive the probabilistic indices of the components and entire systems. Based on the engineering applications, illustrative examples are provided to verify the effectiveness of the proposed model.
具有变化点冲击环境下多部件系统的广义混合冲击模型
各种系统在冲击模型下的可靠性在文献中得到了广泛的探讨,其中冲击冲击的恒定机制一直是研究的对象。然而,由于发展,工程系统在更加复杂的冲击环境中运行,研究这种多部件系统在可变冲击环境中的可靠性是值得的。在研究空白和实际情况的驱动下,本文构建了具有变化点的广义混合冲击模型下的多部件系统可靠性模型。多状态组件最初在冲击环境I中运行,在环境随机变化点之后可能继续在冲击环境II中运行。提出了两种新的变环境冲击冲击机构,其中包括一系列基于冲击的失效准则。本文考虑了四种不同的多组分系统结构。可以证明所提出的混合激波模型是对一些转换模型的推广。建立了一种多阶段有限马尔可夫链嵌入方法,推导了部件和整个系统的概率指标。结合工程应用,给出了算例,验证了模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
19.00%
发文量
81
审稿时长
6-12 weeks
期刊介绍: The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome
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