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Steering of Multi-State Systems by Modeling and Simulation
Sid-Ali Addouche,  Fadaba Danioko,  Abderrahman El Mhamedi
In recent years, Multi-State Systems (MSS) have been rigorously studied because of their inherent complexity. In this paper, we present an approach for steering multi-state systems in an industrial context, over a given life cycle. This approach aims at identifying the best choices for maintenance policies of Multi-State Systems, according to transition parameters of states and performance indicators chosen. The degradation process of the system, based on the Markov model, has been transformed with a dynamic Bayesian model to utilize its advantages. The decision-making of maintenance policies through the Dynamic Bayesian Network is examined, as well as, compared to the simulation results obtained from different test cases.
Keywords- Multi-State Systems; Markov Graph; Dynamic Bayesian Network; Modeling; Preventive Maintenance
Unique Identification Number - IJEDR1403036Page Number(s) - 3117-3128Pubished in - Volume 2 | Issue 3 | Sept 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Sid-Ali Addouche,  Fadaba Danioko,  Abderrahman El Mhamedi,   "Steering of Multi-State Systems by Modeling and Simulation"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 3, pp.3117-3128, Sept 2014, Available at :http://www.ijedr.org/papers/IJEDR1403036.pdf