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Reliability analysis and identification of critical components using Markov modelPublished in IEEE Computer Society
2016
Volume: 2016-January
Pages: 777 - 781
This paper presents a mathematical model based on continuous time Markov chain for performing availability and reliability analysis of a repairable system consisting of n components. It also describes a methodology for identifying a critical component based on continuous-time Markov chain state probabilities of an n-component repairable and non-repairable system. As an illustration, a 3-component repairable system has been modelled. A case study of conventional lathe machine has been presented to solve for state probabilities and analysed to find reliability indices, MTTF, MTBF, MTTR and Availability to provide insights and guidance on improving upon the reliability and maintainability. © 2015 IEEE.
Topics: Markov model (59)%59% related to the paper, Markov chain (59)%59% related to the paper, Continuous-time Markov chain (57)%57% related to the paper, Markov process (57)%57% related to the paper and Reliability (statistics) (54)%54% related to the paper
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About the journal
| Journal | Data powered by TypesetIEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Publisher | Data powered by TypesetIEEE Computer Society |
| ISSN | 21573611 |
Authors (1)
Gajanand Gupta- Development of a Model for Total Productive Maintenance Barriers to Enhance the Life Cycle of Productive Equipment
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