Availability and cost models for sequentially inspected systems with dependent catastrophic and soft failures

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Amisha Khati, S. B. Singh
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引用次数: 0

Abstract

Abstract This paper introduces a novel availability and cost model designed for competing-risk systems that integrate interdependent catastrophic and soft failures. Catastrophic failures halt system operations instantly, while soft failures result in efficiency reductions. The linkage between these failure types is reflected in the fact that each soft failure instantly raises the hazard rate of catastrophic failure. The system under consideration is inspected sequentially wherein upon detecting a soft failure; an immediate minimal repair is performed. After a repair, the system is inspected again in the aforesaid way. If a catastrophic failure is discovered, the system is replaced immediately. This paper formulates expressions for upper and lower reliability limits by incorporating these aspects. Furthermore, it presents theorems that establish bounds for point availability, long-run availability, and the average long-run cost rate. The proposed framework’s validity is confirmed through a numerical case study involving a refrigerator. The outcomes highlight the effectiveness of the model in addressing systems vulnerability to interdependent failures and provide insights into its application.
具有依赖性灾难故障和软故障的顺序检查系统的可用性和成本模型
摘要 本文介绍了一种新的可用性和成本模型,该模型专为整合了相互依赖的灾难性故障和软故障的竞争风险系统而设计。灾难性故障会立即停止系统运行,而软故障则会导致效率降低。每一次软故障都会立即提高灾难性故障的危险率,这反映了这些故障类型之间的联系。所考虑的系统是按顺序检查的,一旦检测到软故障,就会立即进行最低限度的修复。修复后,再以上述方式对系统进行检查。如果发现灾难性故障,则立即更换系统。本文结合这些方面,提出了可靠性上限和下限的表达式。此外,本文还提出了建立点可用性、长期可用性和平均长期成本率界限的定理。通过一项涉及冰箱的数值案例研究,证实了所提出框架的有效性。研究结果凸显了该模型在解决系统易受相互依赖故障影响的问题方面的有效性,并为其应用提供了启示。
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 Engineering
Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
10.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.
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