Reliability model of series systems with multiple shock sources subject to dependent competing failure processes using phase-type distribution

IF 2.3 2区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality Technology and Quantitative Management Pub Date : 2022-10-03 DOI:10.1080/16843703.2022.2124644

H-Y. Lyu, Hongcheng Qu, Shuai Wang, Li Ma, Zaiyou Yang

{"title":"Reliability model of series systems with multiple shock sources subject to dependent competing failure processes using phase-type distribution","authors":"H-Y. Lyu, Hongcheng Qu, Shuai Wang, Li Ma, Zaiyou Yang","doi":"10.1080/16843703.2022.2124644","DOIUrl":null,"url":null,"abstract":"ABSTRACT In this paper, we introduce the concept of a series system with two components and three shock sources considering degradation to build a reliability model. Sources 1 and 2 affect components 1 and 2, respectively. Source 3 covers both components. Both components are subject to dependent competing failure processes (DCFPs). A general reliability model of the n-component series system with m-shock sources subject to DCFPs is derived. The phase-type distribution method is applied to calculate the reliability of the hard failure process. The time lag among shocks follows the continuous phase-type distribution (PH c ). The lifetime and system reliability properties are discussed based on the phase-type distribution. The dependence of shock sources is also considered according to the proposition of phase-type distribution (PH). Finally, an application example and sensitivity analysis of micro-electro-mechanical systems (MEMS) oscillators subject to various shock models are presented to illustrate the developed reliability models.","PeriodicalId":49133,"journal":{"name":"Quality Technology and Quantitative Management","volume":"20 1","pages":"419 - 449"},"PeriodicalIF":2.3000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Technology and Quantitative Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/16843703.2022.2124644","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 0

Abstract

ABSTRACT In this paper, we introduce the concept of a series system with two components and three shock sources considering degradation to build a reliability model. Sources 1 and 2 affect components 1 and 2, respectively. Source 3 covers both components. Both components are subject to dependent competing failure processes (DCFPs). A general reliability model of the n-component series system with m-shock sources subject to DCFPs is derived. The phase-type distribution method is applied to calculate the reliability of the hard failure process. The time lag among shocks follows the continuous phase-type distribution (PH c ). The lifetime and system reliability properties are discussed based on the phase-type distribution. The dependence of shock sources is also considered according to the proposition of phase-type distribution (PH). Finally, an application example and sensitivity analysis of micro-electro-mechanical systems (MEMS) oscillators subject to various shock models are presented to illustrate the developed reliability models.

查看原文本刊更多论文

基于相型分布的多冲击源串联系统相互依赖竞争失效过程的可靠性模型

本文引入考虑退化的双部件三冲击源串联系统的概念，建立可靠性模型。源1和源2分别影响组件1和2。源代码3涵盖了这两个组件。这两个组件都受制于相互依赖的竞争失效过程(DCFPs)。导出了受DCFPs影响的n分量m冲击源串联系统的一般可靠性模型。采用相型分布法计算硬失效过程的可靠性。冲击之间的时间滞后遵循连续相型分布(PH c)。基于相型分布，讨论了系统的寿命和可靠性特性。根据相型分布(PH)的命题，考虑了激波源的依赖性。最后，给出了微机电系统(MEMS)振荡器在不同冲击模型下的应用实例和灵敏度分析，以说明所建立的可靠性模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.