Reliability analysis of weighted k-out-of-n: G performance sharing systems with multiple transmission loss levels

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Congshan Wu , Xian Zhao , Siqi Wang , Yanbo Song
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引用次数: 0

Abstract

This paper constructs a reliability model for the weighted k-out-of-n: G performance sharing which suffers random shocks and transmission loss. The proposed system has a common bus connecting all the components. Each component contains random performance and demand, and the demand should be satisfied by the performance. The common bus is applied to share performances among components, and has random capacity. Note that the performance might be lost during transmission and that the loss rate is affected by shocks. External shocks can be classified into invalid shocks, valid shocks and extreme shocks. One component fails if its demand cannot be satisfied after performance sharing. Each component carries a weight according to its importance degree. The system works if the total weight of the working components is no less than k. A method that combines the Markov process method and the universal generating function technique is used to evaluate system reliability. Numerical examples are illustrated to demonstrate the effectiveness of the proposed model and method.
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来源期刊
Reliability Engineering & System Safety
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.
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