Abstract
In this work, a multi-agent system for fault detection and isolation is proposed in case of faults affecting sensors and actuators of bond graph modelled uncertain parameter systems. The diagnostic system is composed of different agents cooperating and communicating through messages exchange, each agent is specialized in a specific task of the diagnosis process. Detection and isolation routines are based on residuals processing. Residuals are obtained from bond graph model. To illustrate our approach, a hydraulic system in case of 5% of uncertainties is simulated under Matlab/Simulink environment. The diagnostic system is implemented in JADE environment and has shown good detection and isolation results.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Borne, P., Dauphin-Tanguy, G., Richard, J.P., Rotella, F., Zambettakis, I.: Modélisation et identification des processus, Technip (1992)
Pierre Briot, J., Demazeau, Y.: Principe et architecture des systèmes multi-agents, Lavoisier, HermesSciences (2003)
Brunet, J.: « Détection et diagnostic de pannes approche par modélisation », Editions Hermés (1990)
Bouabdallah, S.B., Tagina, M.: Conception d’un système multi-agent pour la surveillance des systèmes complexes. JTEA 2006, Journées Tunisiennes d’Electo- technique et d’Automatique. Mai 2006 Hammamet, Tunisia, pp. 3–5 (2006)
Bouabdallah, S.B., Tagina, M.: A fuzzy approach for fault detection and isolation of uncertain parameter systems and comparison to binary logic. ICINCO 2006, Intelligent control systems and optimization. Août 2006 Portugal, pp. 98–106 (2006)
Bouabdallah, S.B., Tagina, M.: A multilayer perceptron for fault detection and isolation of systems with parameter uncertainties. SSD 2007, Mars 2007, Tunisia, pp. SAC-1015 (2007)
Dauphin-Tanguy, G.: Les bond graph. Hermes Sciences Publications (2000)
Dumont d’Ayot, G.: Coopération et évaluation cognitive d’agents artificiels pour la supervision. Thèse de doctorat. CNRS. LAAS (2005)
Evsukoff, A., Gentil, S., Montmain, J.: Fuzzy reasoning in co-operative supervisin systems, Control Engineering Practice 8, pp. 389–407 (2000)
http://www.fipa.org/ FIPA Specification, Foundation for intelligent Physical agents (2005)
Garcia-Beltran, C., Gentil, S., Stuecher, R.: Causal-based diagnosis of a hydraulic looper, IFAC Symposium on automation in Mining, Mineral and Metal processing MMM 2004, Nancy, France (2004)
Howley, B., Cutkosky, M., Biswas, G.: Composing and sharing dynamic models in an Agent-based concurrent Engineering Environment. In: American Control Conference, San Diego, CA, June 2-4, pp. 3147–3153 (1999)
Mosterman, P.J.: A Hybrid Bond Graph modelling Paradigm and its application in Diagnosis, Dissertation, Vanderbilt University (1997)
Tagina, M.: « Application de la modélisation bond graph à la surveillance des systèmes complexes», PhD thesis, University Lille I, France (1995)
Köppen-Seliger, B., Marcu, T., Capobianco, M., Gentil, S., Albert, M., Latzel, S.: MAGIC: An integrated approach for diagnostic data management and operator support. In: IFAC SAFEPROCESS, Washington, USA (2003)
Wörn, H., Längle, T., Albert, M.: Multi-Agent Architecture for Monitoring and Diagnosing Complex Systems. In: CSIT, Patras, Greece (2002)
Wörn, H., Längle, T., Albert, M.: Development tool for distributed monitoring and Diagnostic Systems. Institute for Control and Robotics, University of Karlsruhe, Germany
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bouabdallah, S.B., Saddam, R., Tagina, M. (2009). A Multi-agent Architecture for Sensors and Actuators’ Fault Detection and Isolation in Case of Uncertain Parameter Systems. In: Koutsojannis, C., Sirmakessis, S. (eds) Tools and Applications with Artificial Intelligence. Studies in Computational Intelligence, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88069-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-88069-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88068-4
Online ISBN: 978-3-540-88069-1
eBook Packages: EngineeringEngineering (R0)