Article ID: | iaor20108510a |
Volume: | 96 |
Issue: | 1 |
Start Page Number: | 160 |
End Page Number: | 171 |
Publication Date: | Jan 2011 |
Journal: | Reliability Engineering and System Safety |
Authors: | Ghostine Rony, Thiriet Jean-Marc, Aubry Jean-Franois |
Keywords: | simulation: applications |
Today, new technologies (distributed systems, networks communication) are more and more integrated for applications needing to fit real-time and critical constraints. It means that we require more and more to integrate these new technology-based components in systems or sub-systems dedicated to safety or dealing with a high level of criticality. Control systems are generally evaluated as a function of required performances (overshoot, rising time, response time) under the condition to respect a stability condition. Reliability evaluation of such systems is not trivial, because generally classical methods do not take into account time and dynamic properties which are the bases of control systems. The methodology proposed in this paper deals with an approach for the dependability evaluation of control systems, based on Monte-Carlo simulation, giving a contribution to the integration of automatic control and dependability constraints.