Decentralized Fault Detection and Isolation of Manufacturing Systems

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Published Oct 11, 2010
DOI https://doi.org/10.36001/phmconf.2010.v2i1.1939
M. Sayed Mouchaweh
Université de Reims Champagne-Ardenne - Centre de Recherche en STIC (URCA-CReSTIC) Moulin de la Housse B.P. 1039, 51687 REIMS Cedex 2, France

Abstract

This paper presents a Boolean discrete event model based approach for Fault Detection and Isolation (FDI) of manufacturing systems. This approach considers a system as a set of independent components composed of discrete actuators and their associated discrete sensors. Each component model is only aware of its local desired fault free behavior. The occurrence of a fault entailing the violation of the desired behavior is detected and the potential responsible candidates are isolated using event sequences, time delays between correlated events and state conditions, characterized by sensor readings and control signals. The proposed approach is applied to a flexible manufacturing system.

How to Cite

Mouchaweh, M. S. (2010). Decentralized Fault Detection and Isolation of Manufacturing Systems. Annual Conference of the PHM Society, 2(2). https://doi.org/10.36001/phmconf.2010.v2i1.1939
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Keywords

diagnosis, discrete event systems

References
(Aveyard, 1973) R. L. Aveyard. A boolean mode1 for a class of discrete event systems. IEEE Trans. Systems, Man, and Cybernetics, vol. SMC4-3, pp. 249-258, 1973.
(Cordier and Grastien, 2007) M. O. Cordier and A. Grastien. Exploiting Independence in a Decentralised and Incremental approach of diagnosis, in Proceeding 20th International Joint Conference on Artificial Intelligence, pp. 292-297, 2007.
(Debouk et al., 2000) R. Debouk, S. Lafortune and D. Teneketzis. Coordinated decentralized protocols for failure diagnosis of discrete event systems, Discrete Event Dynamic Systems: Theory and Applications, Vol. 10 (1-2), pp. 33–86, 2000.
(Garcia and Yoo, 2005) H. E. Garcia and T. S. Yoo. Model-based detection of routing events in discrete flow networks, Automatica, Volume 41 (4), pp. 583594, 2005.
(Philippot et al., 2007) A. Philippot, M. SayedMouchaweh and V. Carré-Ménétrier. Unconditional Decentralized Structure for the fault diagnosis of Discrete Event Systems, in Proceeding of 1st IFAC Workshop on Dependable Control of Discrete-event Systems, 2007.
(Pucel and Stumptner, 2009) X. Pucel, W. Mayer and M. Stumptner. Diagnosability analysis without fault models, 20th International Workshop on Principles of Diagnosis (DX'09). Stockholm, Sweden, pp. 6774, 2009.
(Qiu and Kumar, 2006) W. Qiu and R. Kumar. Decentralized failure diagnosis of discrete event systems, IEEE Transactions on systems, man and cybernetics-Part A, Vol. 36 (2), pp. 628-643, 2006.
(Roth et al., 2009) M. Roth, J.-J. Lesage, L. Litz, A residual inspired approach for fault localization in DES, in Proceedings of the 2nd IFAC Workshop on Dependable Control of Discrete Event Systems (DCDS'09), pp. 347-352, 2009
(Sengupta and Tripakis, 2002) R. Sengupta and S. Tripakis. Decentralized diagnosability of regular languages is undecidable, 40th IEEE Conf. on Decision and Control, pp. 423-428, 2002.
(Wang and Lafortune, 2007) Y. Wang, T. S. Yoo and S. Lafortune. Diagnosis of discrete event systems using decentralized architectures, Discrete Event Dynamic Systems, Vol. 17 (2), pp. 233-263, 2007.
(Wonham and Ramadge, 1987) W. M. Wonham and P. J. Ramadge. On the supremal controllable sublanguage of a given language, SIAM Journal on Control and Optimization, Vol. 25 (3), pp. 637-659, 1987.
Issue
Vol. 2 No. 2 (2010): Proceedings of the 21st International Workshop on the Principles of Diagnosis, held jointly with the Annual Conference of the PHM Society 2010
Section
Technical Research Papers

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