New Approach to the Diagnosis of Control Hydraulic Systems
Affiliation(s)
LTII Laboratory, A. Mira Béjaia University, Béjaia, Algeria. Automatic Control Laboratory, University of Setif, Setif, Algeria. LCIS Laboratory, INPG Valence, Valence, France.
LTII Laboratory, A. Mira Béjaia University, Béjaia, Algeria. Automatic Control Laboratory, University of Setif, Setif, Algeria. LCIS Laboratory, INPG Valence, Valence, France.
ABSTRACT
A dynamical hybrid system is described by a set of continuous variables and a set of discrete events interacting mutually. The reality imposes to take into account the failures of the components or the uncertainties on the knowledge of the system. Therefore, the systems can work in several modes. Some of these modes correspond to a normal functioning and the others represent failing modes. In this article, we are interested in the evaluation of the probability of occurrence of the failing events in a hybrid dynamic system. Furthermore, we propose an approach to detect on line the failed states and try to find the components responsible for this fault. This approach is based on the knowledge in priori of the system, at least from the point of view of the state of its components in normal functioning. This approach is here described through a simple case study taken from literature.
A dynamical hybrid system is described by a set of continuous variables and a set of discrete events interacting mutually. The reality imposes to take into account the failures of the components or the uncertainties on the knowledge of the system. Therefore, the systems can work in several modes. Some of these modes correspond to a normal functioning and the others represent failing modes. In this article, we are interested in the evaluation of the probability of occurrence of the failing events in a hybrid dynamic system. Furthermore, we propose an approach to detect on line the failed states and try to find the components responsible for this fault. This approach is based on the knowledge in priori of the system, at least from the point of view of the state of its components in normal functioning. This approach is here described through a simple case study taken from literature.
Cite this paper
Hatem, N. , Mostefai, M. and Aktouf, O. (2013) New Approach to the Diagnosis of Control Hydraulic Systems. Computational Water, Energy, and Environmental Engineering, 2, 97-102. doi: 10.4236/cweee.2013.24011.
Hatem, N. , Mostefai, M. and Aktouf, O. (2013) New Approach to the Diagnosis of Control Hydraulic Systems. Computational Water, Energy, and Environmental Engineering, 2, 97-102. doi: 10.4236/cweee.2013.24011.
References
[1] N. R. Bellahsene Hatem, O. Aktouf and M. Mostefai, “Aide au Diagnostic des Systèmes Dynamiques Hybrides,” Colloque d’Informatique, Automatique et Electronique CIAE 2011, Casablanca, Moroccoc 24-25 Mars 2011. [2] N. R. Bellahsene Hatem, O. Aktouf and M. Mostefai, “Contribution au Diagnostic des Evénements Défaillants Dans un Système Dynamique Hybride,” International congress for Global Science and Technology (ICGST), Istanbul, 19-21 Décembre 2011, pp. 137-142. [3] F. Thedjani, K. Laabidi and S. Zidi. “Classification non Supervisee Pour la Surveillance d’un Système Automatique 8e,” Conférence Internationale de MOdélisation et SIMulation—MOSIM’10—10 au 12 mai Hammamet, 2010, pp. 125-131. [4] J. Clarhaut, “Prise en Compte des Séquences de Défaillances Pour la Conception de Systèmes d’Automatisationque,” Thèse de Doctorat, University of Lille, Lille, 2009. [5] E. Borgonovo and M. Marseguera. “A Monte Carlo Methodological Approach to Plant Availability Modeling with Maintenance, Aging and Obsolescence,” Reliability Engineering and System Safety, Vol. 67, 2000, pp. 61-73.
[1] N. R. Bellahsene Hatem, O. Aktouf and M. Mostefai, “Aide au Diagnostic des Systèmes Dynamiques Hybrides,” Colloque d’Informatique, Automatique et Electronique CIAE 2011, Casablanca, Moroccoc 24-25 Mars 2011. [2] N. R. Bellahsene Hatem, O. Aktouf and M. Mostefai, “Contribution au Diagnostic des Evénements Défaillants Dans un Système Dynamique Hybride,” International congress for Global Science and Technology (ICGST), Istanbul, 19-21 Décembre 2011, pp. 137-142. [3] F. Thedjani, K. Laabidi and S. Zidi. “Classification non Supervisee Pour la Surveillance d’un Système Automatique 8e,” Conférence Internationale de MOdélisation et SIMulation—MOSIM’10—10 au 12 mai Hammamet, 2010, pp. 125-131. [4] J. Clarhaut, “Prise en Compte des Séquences de Défaillances Pour la Conception de Systèmes d’Automatisationque,” Thèse de Doctorat, University of Lille, Lille, 2009. [5] E. Borgonovo and M. Marseguera. “A Monte Carlo Methodological Approach to Plant Availability Modeling with Maintenance, Aging and Obsolescence,” Reliability Engineering and System Safety, Vol. 67, 2000, pp. 61-73.