• Medientyp: E-Artikel
  • Titel: Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval
  • Beteiligte: Kumar, Girish [VerfasserIn]; Jain, Vipul [VerfasserIn]; Gandhi, O. P. [VerfasserIn]
  • Erschienen: Heidelberg: Springer, 2018
  • Sprache: Englisch
  • DOI: https://doi.org/10.1007/s40092-017-0212-z
  • ISSN: 2251-712X
  • Schlagwörter: Availability ; Semi-Markov process ; Degraded states ; Condition based maintenance ; Mechanical repairable systems
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  • Beschreibung: 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.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)