Markov repairable systems with stochastic regimes switching
Article Properties
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DOI (url)
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Publication Date2011/10/01
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Indian UGC (journal)
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Citations22
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Liying Wang
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Lirong Cui
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Mingli Yu
Cite
Wang, Liying, et al. “Markov Repairable Systems With Stochastic Regimes Switching”. Journal of Systems Engineering and Electronics, vol. 22, no. 5, 2011, pp. 773-9, https://doi.org/10.3969/j.issn.1004-4132.2011.05.008.
Wang, L., Cui, L., & Yu, M. (2011). Markov repairable systems with stochastic regimes switching. Journal of Systems Engineering and Electronics, 22(5), 773-779. https://doi.org/10.3969/j.issn.1004-4132.2011.05.008
Wang L, Cui L, Yu M. Markov repairable systems with stochastic regimes switching. Journal of Systems Engineering and Electronics. 2011;22(5):773-9.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Production management
Operations management
Technology
Mechanical engineering and machinery
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life | Applied Energy |
| 11 | 2023 |
| Modeling and analysis for a repairable system with multi-state components under K-mixed redundancy strategy | Communications in Statistics - Theory and Methods |
| 2022 | |
Aggregated Markov‐based reliability analysis of multi‐state systems under combined dynamic environments | Quality and Reliability Engineering International |
| 8 | 2020 |
| SHyFTOO, an object-oriented Monte Carlo simulation library for the modeling of Stochastic Hybrid Fault Tree Automaton | Expert Systems with Applications |
| 19 | 2020 |
Research on the model of a multistate aggregated Markov repairable system | Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability |
| 2019 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 13
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Reliability measures for two-part partition of states for aggregated Markov repairable systems and was published in 2012. The most recent citation comes from a 2023 study titled Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life. This article reached its peak citation in 2016, with 4 citations. It has been cited in 15 different journals. Among related journals, the Communications in Statistics - Theory and Methods cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.