System reliability evaluation and dynamic optimization based on an improved reliability block diagram

IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Liu Tianyu, Pan Zhengqiang, Song Guopeng
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引用次数: 0

Abstract

Reliability block diagram (RBD) is an effective tool for modeling and evaluating system reliability. During operation, a system’s reliability may decrease significantly due to the failure of certain critical nodes and thus should be reconfigured. This paper presents a framework for system reliability evaluation and dynamic optimization based on RBD, designed from the perspective of system users. First, we improve the classic RBD model with a new encoding scheme and develop an accurate RBD computation algorithm that is easily recognized by computers and highly efficient. Second, we create an optimization algorithm based on Tabu Search to reconfigure the system after node failure, striking a balance between system reliability recovery and RBD variation amplitude. Finally, we provide some numerical examples and a computational experiment based on a practical instance from a navy fleet to demonstrate the correctness and effectiveness of our proposed methods.
基于改进可靠性框图的系统可靠性评估与动态优化
可靠性框图(RBD)是系统可靠性建模和评估的有效工具。在运行过程中,由于某些关键节点的故障,系统的可靠性可能会显著降低,因此需要重新配置。本文从系统用户的角度出发,提出了基于RBD的系统可靠性评估与动态优化框架。首先,我们用一种新的编码方案改进了经典的RBD模型,并开发了一种易于计算机识别和高效的精确RBD计算算法。其次,我们创建了一个基于禁忌搜索的优化算法,在节点故障后重新配置系统,在系统可靠性恢复和RBD变化幅度之间取得平衡。最后,通过数值算例和某海军舰队的计算实验,验证了所提方法的正确性和有效性。
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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