Aggregated Markov‐based reliability analysis of multi‐state systems under combined dynamic environments
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/01/17
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Indian UGC (journal)
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Refrences40
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Citations8
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Xujie Jia School of Science Minzu University of China Beijing China ORCID (unauthenticated)
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Liudong Xing Department of Electrical and Computer Engineering University of Massachusetts Dartmouth Dartmouth Massachusetts ORCID (unauthenticated)
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Xueying Song School of Science Minzu University of China Beijing China
Abstract
Cite
Jia, Xujie, et al. “Aggregated Markov‐based Reliability Analysis of multi‐state Systems under Combined Dynamic Environments”. Quality and Reliability Engineering International, vol. 36, no. 3, 2020, pp. 846-60, https://doi.org/10.1002/qre.2584.
Jia, X., Xing, L., & Song, X. (2020). Aggregated Markov‐based reliability analysis of multi‐state systems under combined dynamic environments. Quality and Reliability Engineering International, 36(3), 846-860. https://doi.org/10.1002/qre.2584
Jia X, Xing L, Song X. Aggregated Markov‐based reliability analysis of multi‐state systems under combined dynamic environments. Quality and Reliability Engineering International. 2020;36(3):846-60.
Journal Categories
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Production management
Operations management
Technology
Technology (General)
Industrial engineering
Management engineering
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Multi‐state balanced systems in a shock environment | ||||
| A shock model for multi‐component system considering the cumulative effect of severely damaged components | ||||
| 10.1007/0-387-71163-5 | ||||
| 10.1016/B978-0-12-702101-0.50016-0 | ||||
Shock model in Markovian environment | Naval Research Logistics (NRL) |
| 18 | 2005 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Performance optimization of hydroelectric power-plants using computational intelligence techniques | International Journal of Information Technology | 2024 | ||
System reliability under cascading failure models with different load effect modes | Quality and Reliability Engineering International |
| 2023 | |
| A reliability model for systems subject to mutually dependent degradation processes and random shocks under dynamic environments | Reliability Engineering & System Safety |
| 7 | 2023 |
| Binary decision diagram-based reliability modeling of phased-mission manufacturing system processing multi-type products | Quality Technology & Quantitative Management | 2023 | ||
| Optimal replacement policies for systems under sporadic shocks and healing impetus | Quality Technology & Quantitative Management | 2 | 2022 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Preventive maintenance of multiple components for hydraulic tension systems and was published in 2021. The most recent citation comes from a 2024 study titled Performance optimization of hydroelectric power-plants using computational intelligence techniques. This article reached its peak citation in 2023, with 3 citations. It has been cited in 6 different journals, 16% of which are open access. Among related journals, the Quality Technology & Quantitative Management cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.