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
Jazyk: angličtina
Rok vydání: 2017
Předmět:
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