Abstract
Today, the degradation mastery of critical components is one of the efficient means to minimise the non expected stops of production system and reduce its costs. Consequently, a prognosis process-based proactive maintenance system is proposed and formalized in this paper. This process allows to follow the system degradation and to implement adequate preventive actions for anticipating failures. Its development combines both probabilistic and event approaches for degradation mechanism modelling and dynamical monitoring.
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© 2004 Springer-Verlag London
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Muller, A., Suhner, MC., Iung, B. (2004). Bayesian Network-based Proactive Maintenance. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_332
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DOI: https://doi.org/10.1007/978-0-85729-410-4_332
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
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