Abstract
A multiagent diagnostic system implemented in a Protégé-JADE-JESS environment interfaced with a dynamic simulator and database services is described in this paper. The proposed system architecture enables the use of a combination of diagnostic methods from heterogeneous knowledge sources. The process ontology and the process agents are designed based on the structure of the process system, while the diagnostic agents implement the applied diagnostic methods. A specific completeness coordinator agent is implemented to coordinate the diagnostic agents based on different methods. The system is demonstrated on a case study for diagnosis of faults in a granulation process based on HAZOP and FMEA analysis.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Blanke, M., Kinnaert, M., Junze, J., Staroswiecki, M., Schroder, J., Lunze, J. (eds.): Diagnosis and Fault-Tolerant Control. Springer, Heidelberg (2003)
Jennings, N.R., Wooldridge, M.J.: Agent Technology. Springer, Berlin (1998)
Wörn, H., et al.: DIAMOND: Distributed Multi-agent Architecture for Monitoring and Diagnosis. Production Planning and Control 15, 189–200 (2004)
Cameron, I.T., Raman, R.: Process Systems Risk Management. Elsevier, Amsterdam (2005)
Knowlton, R.E.: Hazard and operability studies: the guide word approach. Chematics International Company, Vancouver (1989)
Jordan, W.: Failure modes, effects and criticality analyses. In: Proceedings of the Annual Reliability and Maintainability Symposium, pp. 30–37. IEEE Press, Los Alamitos (1972)
Venkatasubramanian, V., Rengaswamy, R., Kavuri, S.N.: A review of process fault detection and diagnosis Part II: Qualitative models and search strategies. Computers and Chemical Engineering 27, 313–326 (2003)
The Protégé Ontology Editor and Knowledge Acquisition System (2004), http://protege.stanford.edu
Yang, A., Marquardt, W., Stalker, I., Fraga, E., Serra, M., Pinol, D.: Principles and informal specification of OntoCAPE, Technical report, COGents project, WP2 (2003)
Agent Building and Learning Environment (ABLE), http://www.research.ibm.com/able
Reticular Systems. AgentBuilder - An integrated Toolkit for Constructing Intelligence Software Agents (1999), http://www.agentbuilder.com
FIPA-OS, http://www.nortelnetworks.com/products/announcements/fipa/index.html
JADE - Java Agent Development Framework, http://jade.tilab.com
Nwana, H.S., Ndumu, D.T., Lee, L.C.: ZEUS: An advanced Tool-Kit for Engineering Distributed Multi-Agent Systems. In: Proc. of PAAM 1998, pp. 377–391 (1998)
JESS, the Rule Engine for the Java platform, http://herzberg.ca.sandia.gov/jess/
Balliu, N.: An object-oriented approach to the modelling and dynamics of granulation circuits, Ph.D Thesis, School of Engineering, The University of Queensland, Australia 4072 (2004)
Németh, E., Cameron, I.T., Hangos, K.M.: Diagnostic goal driven modelling and simulation of multiscale process systems. Computers and Chemical Engineering 29, 783–796 (2005)
Németh, E., Lakner, R., Hangos, K.M., Cameron, I.T.: Prediction-based diagnosis and loss prevention using model-based reasoning. In: Ali, M., Esposito, F. (eds.) IEA/AIE 2005. LNCS, vol. 3533, pp. 367–369. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lakner, R., Németh, E., Hangos, K.M., Cameron, I.T. (2006). Multiagent Realization of Prediction-Based Diagnosis and Loss Prevention. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_10
Download citation
DOI: https://doi.org/10.1007/11779568_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
Online ISBN: 978-3-540-35454-3
eBook Packages: Computer ScienceComputer Science (R0)