Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval
Autor: | Vipul Jain, Girish Kumar, O. P. Gandhi |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0209 industrial biotechnology
021103 operations research Markov chain lcsh:T55.4-60.8 Computer science Process (engineering) Condition-based maintenance Degraded states 0211 other engineering and technologies Condition monitoring Availability 02 engineering and technology Interval (mathematics) Industrial and Manufacturing Engineering Predictive maintenance Reliability engineering Mechanical system Semi-Markov process 020901 industrial engineering & automation Condition based maintenance Genetic algorithm ddc:650 Mechanical repairable systems lcsh:Industrial engineering. Management engineering Operations management |
Zdroj: | Journal of Industrial Engineering International, Vol 14, Iss 1, Pp 119-131 (2017) |
ISSN: | 1735-5702 |
DOI: | 10.1007/s40092-017-0212-z |
Popis: | 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. |
Databáze: | OpenAIRE |
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