Steering of Multi-State Systems by Modeling and Simulation
- Sid-Ali Addouche
- Fadaba Danioko
- Abderrahman El Mhamedi
Multi-State Systems; Markov Graph; Dynamic Bayesian Network; Modeling; Preventive Maintenance
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.
Sid-Ali Addouche, Fadaba Danioko, Abderrahman El Mhamedi. "Steering of Multi-State Systems by Modeling and Simulation".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 3, pp.3117-3128, URL :https://rjwave.org/ijedr/papers/IJEDR1403036.pdf
Volume 2 Issue 3
Pages. 3117-3128
