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Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval
- Source :
- Journal of Industrial Engineering International, Vol 14, Iss 1, Pp 119-131 (2017)
- Publication Year :
- 2017
- Publisher :
- Islamic Azad University, 2017.
-
Abstract
- Abstract Maintenance helps to extend equipment life by improving its condition and avoiding catastrophic failures. Appropriate model or mechanism is, thus, needed to quantify system availability vis-a-vis a given maintenance strategy, which will assist in decision-making for optimal utilization of maintenance resources. This paper deals with semi-Markov process (SMP) modeling for steady state availability analysis of mechanical systems that follow condition-based maintenance (CBM) and evaluation of optimal condition monitoring interval. The developed SMP model is solved using two-stage analytical approach for steady-state availability analysis of the system. Also, CBM interval is decided for maximizing system availability using Genetic Algorithm approach. The main contribution of the paper is in the form of a predictive tool for system availability that will help in deciding the optimum CBM policy. The proposed methodology is demonstrated for a centrifugal pump.
Details
- Language :
- English
- ISSN :
- 17355702 and 2251712X
- Volume :
- 14
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Industrial Engineering International
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6b673a2263df41ca91f54de3d99dca5e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1007/s40092-017-0212-z