Reliability analysis for systems with self-healing mechanism under two different types of cumulative shocks

IF 2.3 2区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality Technology and Quantitative Management Pub Date : 2022-01-18 DOI:10.1080/16843703.2021.2021616

Fengming Kang, Lirong Cui

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引用次数: 14

Abstract

ABSTRACT System with self-healing mechanism has been successfully applied in many practical engineering fields. When we discuss the reliability performance of system subject to shocks, cumulative shocks have the greatest impact on most systems fields such as high-speed railway systems or civil structural components. In the present paper, we deal with two different types of cumulative shock models in discrete time with self-healing effect. We study a system with self-healing mechanism from a reliability point of view under these two shock models. The self-healing system will fail when the cumulative damage effect exceeds the given threshold. In the first model, there are shock events at instant of time , while in the second model at some time point there was no shock occurring event. Along with the work in this article, the system reliability formulas and the means and variances of their lifetimes are given under two different types shock models proposed, then simulation methods are adopted to analyze the reliability of the system for the second cumulative model. Finally, numerical examples and future researches are discussed.

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具有自修复机制的系统在两种不同类型累积冲击下的可靠性分析

具有自愈机制的系统已成功地应用于许多实际工程领域。当我们讨论系统在冲击作用下的可靠性性能时，累积冲击对大多数系统领域的影响最大，如高速铁路系统或土木结构构件。本文研究了两种具有自愈效应的离散时间累积冲击模型。在这两种冲击模型下，我们从可靠性的角度研究了具有自愈机制的系统。当累积伤害效应超过给定阈值时，自愈系统将失效。在第一个模型中，在某一时刻发生了冲击事件，而在第二个模型中，在某一时间点没有发生冲击事件。结合本文的工作，给出了两种不同冲击模型下的系统可靠性公式及其寿命均值和方差，并采用仿真方法对第二种累积模型下的系统可靠性进行了分析。最后给出了数值算例，并对今后的研究方向进行了展望。

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

Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

5.10

自引率

21.40%

发文量

审稿时长

>12 weeks

期刊介绍： Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.