Reliability modeling of multi-state phased mission systems with random phase durations and dynamic combined phases

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2024-10-15 DOI:10.1016/j.ress.2024.110524

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引用次数: 0

Abstract

Random phase durations and dynamic combined phases challenge the application of existing reliability models in the reliability analysis of multistate-phased mission systems (MS-PMSs). To this end, this paper presents a new reliability modeling method for multi-state phased mission systems with random phase durations and dynamic combined phases. Initially, a multi-state multi-valued decision diagram-based (MMDD-based) reliability modeling method is created to efficiently map random phase durations and the dynamic combined phase nature of MS-PMSs into the reliability model. To solve the MMDD-based reliability model, a path probability evaluation method is subsequently constructed with the assistance of the Markov regenerative function. The effectiveness and the superior performance of the proposed MMDD-based reliability model and its solving algorithm are validated by the application to the reliability modeling and analysis of an attitude and orbit control system with multiple modes. Overall, this paper provides the reliability sector with a new reliability model and its solving algorithm to enhance the reliability and safety of multi-state phased mission systems.

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具有随机阶段持续时间和动态组合阶段的多状态分阶段任务系统的可靠性建模

随机阶段持续时间和动态组合阶段对现有可靠性模型在多态分阶段任务系统（MS-PMS）可靠性分析中的应用提出了挑战。为此，本文针对具有随机阶段持续时间和动态组合阶段的多状态分阶段任务系统提出了一种新的可靠性建模方法。首先，本文创建了一种基于多状态多值决策图（MMDD）的可靠性建模方法，以有效地将 MS-PMS 的随机阶段持续时间和动态组合阶段性质映射到可靠性模型中。为了求解基于 MMDD 的可靠性模型，随后在马尔可夫再生函数的帮助下构建了一种路径概率评估方法。通过应用于多模式姿态和轨道控制系统的可靠性建模和分析，验证了所提出的基于 MMDD 的可靠性模型及其求解算法的有效性和优越性能。总之，本文为可靠性领域提供了一种新的可靠性模型及其求解算法，以提高多态分阶段任务系统的可靠性和安全性。

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

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.