NDLI: Availability assessment of stochastic multi-states systems based on UGF and taking into account data uncertainty

Content Provider	IEEE Xplore Digital Library
Author	El Falou, M. Chatelet, E.
Copyright Year	2009
Description	Author affiliation: Institut Charles Delaunay, Université de technologie de Troyes, France (El Falou, M.; Chatelet, E.)
Abstract	The presented method extends availability assessment in multi state systems to take into account data uncertainty. Until now, propagation of uncertainty is evaluated only in the classical block diagrams methods or specific simulation modeling. Using the universal generating function technique (UGF), the number of states in the multi states model is reduced and the uncertainty evaluation is generalized. Markov processes describe the multiple degradation states of components (with exponential laws) which are combined with UGF to generate the system states. The reparations are also taking into account in terms of exponential laws. The data uncertainty is modeled by usual probability functions. The results show the influence of these uncertainties on the probability states, availability assessment and consequently the decision for system design or maintenance policy. The suggested method is sufficiently general to cover many types of systems and application processes.
Starting Page	1170
Ending Page	1174
File Size	780764
Page Count	5
File Format	PDF
ISBN	9781424448692
DOI	10.1109/IEEM.2009.5372978
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Markov process Uncertainty data uncertainty Universal Generating Function Risk analysis Modeling uncertainty propagation Condition monitoring Degradation Bridges Stochastic systems Markov processes Probability density function Monte Carlo simulation
Content Type	Text
Resource Type	Article

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