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
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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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