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Multi-State System Reliability Evaluation and Component Allocation Optimization Under Multi-Level Performance Sharing
Huang, Shuxuan1; Lei, Bingyin1; Gao, Kaiye1,2; Wu, Zixuan3; Wang, Ziwen4
2021
Source PublicationIEEE ACCESS
ISSN2169-3536
Volume9Pages:88820-88834
AbstractWith the development of science and technology, the structure of engineering system has become increasingly large and complex. In order to ensure the safety and stability of the system in operation, the reliability evaluation of complex system has become an important research field. However, previous studies on the reliability of multi-state systems did not take into account the multi-level performance sharing in the system, and it has been unable to accurately assess the reliability of such complex systems. Therefore, based on the actual engineering system, this paper proposes a multi-state system with multi-level performance sharing mechanism. On this basis, we established a system reliability evaluation model using universal generating function technique. Through numerical examples, the application of the model and analyze the influence of different parameters on system reliability are demonstrated. In addition, we also use genetic algorithm to optimize the allocation of components in the system, so as to improve the reliability of the system. Different from the previous studies on system reliability with common bus performance sharing, the system proposed in this study is more general.
KeywordPower system reliability Licenses Reliability engineering Resource management Random variables Propagation losses Transportation Common bus performance sharing multi-state system reliability universal generating function (UGF) genetic algorithm (GA)
DOI10.1109/ACCESS.2021.3090405
Indexed BySCI
Language英语
Funding ProjectBeijing Municipal Commission of Education[KM202111232007] ; Beijing Information Science and Technology University[2121YJPY228] ; Beijing Information Science and Technology University[QXTCPB202103]
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000673563400001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/58948
Collection中国科学院数学与系统科学研究院
Corresponding AuthorLei, Bingyin
Affiliation1.Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Xiamen Airlines, Digital Comm, Xiamen 361006, Peoples R China
4.Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
Recommended Citation
GB/T 7714
Huang, Shuxuan,Lei, Bingyin,Gao, Kaiye,et al. Multi-State System Reliability Evaluation and Component Allocation Optimization Under Multi-Level Performance Sharing[J]. IEEE ACCESS,2021,9:88820-88834.
APA Huang, Shuxuan,Lei, Bingyin,Gao, Kaiye,Wu, Zixuan,&Wang, Ziwen.(2021).Multi-State System Reliability Evaluation and Component Allocation Optimization Under Multi-Level Performance Sharing.IEEE ACCESS,9,88820-88834.
MLA Huang, Shuxuan,et al."Multi-State System Reliability Evaluation and Component Allocation Optimization Under Multi-Level Performance Sharing".IEEE ACCESS 9(2021):88820-88834.
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