连续滑动窗口系统的预期工作时间优化

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2025-04-08 DOI:10.1016/j.ress.2025.111126

Narges Mahdavi-Nasab , Mostafa Abouei Ardakan , Enrico Zio

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引用次数: 0

摘要

连续滑动窗系统（CSWSs）扩展了滑动窗系统（SWSs）的框架，适用于各种工业环境，例如汽车行业的加热系统和造粒厂。随着环境问题、资源稀缺和运营成本上升对能源消耗的日益关注，本文提出了一个双目标模型，旨在最大限度地减少能源支出，同时最大限度地提高系统可靠性。我们采用概率方法来优化不同冗余策略下系统的预期工作时间。我们的研究结果表明，冗余的战略实施不仅降低了能源消耗和运营成本，而且确保系统可靠性保持在令人满意的水平。

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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Optimizing expected working time in consecutive sliding window systems

Consecutive Sliding Window Systems (CSWSs) extend the framework of Sliding Window Systems (SWSs) and are applicable in various industrial contexts, such as heating systems in the automotive sector and pelletizing plants. With increasing concerns over energy consumption driven by environmental issues, resource scarcity, and rising operational costs, this paper presents a bi-objective model designed to minimize energy expenditures while maximizing system reliability. We employ a probabilistic approach to optimize the Expected Working Time of the system across different redundancy strategies. Our results demonstrate that the strategic implementation of redundancy not only reduces energy consumption and operational costs but also ensures that system reliability is maintained at satisfactory levels.

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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.