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Maintenance policy: degradation laws versus hidden Markov model availability indicator

Author

Listed:
  • P Vrignat
  • M Avila
  • F Duculty
  • S Aupetit
  • M Slimane
  • F Kratz

Abstract

Today, maintenance strategies and their analyses remain a worrying problem for companies. Socio-economic stakes depending on the competitiveness of each strategy are more than ever linked to the activity and quality of maintenance interventions. A series of specific events can eventually warn the expert of an imminent breakdown. This study aims at understanding such a signature thanks to hidden Markov models. For that purpose, two methods for damage level estimation of a maintained system are proposed. The first consists in using non-parametric and semi-parametric degradation laws (which will be used as references). The second method consists in using a Markovian approach. All proposals are illustrated on two studies corresponding to two real industrial situations (a continuous system for food processing and moulded products in aluminium alloys for the automotive industry).

Suggested Citation

  • P Vrignat & M Avila & F Duculty & S Aupetit & M Slimane & F Kratz, 2012. "Maintenance policy: degradation laws versus hidden Markov model availability indicator," Journal of Risk and Reliability, , vol. 226(2), pages 137-155, April.
    • Handle: RePEc:sae:risrel:v:226:y:2012:i:2:p:137-155
    DOI: 10.1177/1748006X11406335
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    References listed on IDEAS

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    1. Soro, Isaac W. & Nourelfath, Mustapha & Aït-Kadi, Daoud, 2010. "Performance evaluation of multi-state degraded systems with minimal repairs and imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 65-69.
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    4. Ciriaco Valdez‐Flores & Richard M. Feldman, 1989. "A survey of preventive maintenance models for stochastically deteriorating single‐unit systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 419-446, August.
    5. Dieulle, L. & Berenguer, C. & Grall, A. & Roussignol, M., 2003. "Sequential condition-based maintenance scheduling for a deteriorating system," European Journal of Operational Research, Elsevier, vol. 150(2), pages 451-461, October.
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    Cited by:

    1. Fort, A. & Mugnaini, M. & Vignoli, V., 2015. "Hidden Markov Models approach used for life parameters estimations," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 85-91.

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