Artificial-neural-network-based failure detection and isolation

Mokhtar Sadok; Imed Gharsalli; Ali T. Alouani

doi:10.1117/12.304808

25 March 1998 Artificial-neural-network-based failure detection and isolation

Mokhtar Sadok, Imed Gharsalli, Ali T. Alouani

Author Affiliations +

Proceedings Volume 3390, Applications and Science of Computational Intelligence; (1998) https://doi.org/10.1117/12.304808
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper presents the design of a systematic failure detection and isolation system that uses the concept of failure sensitive variables (FSV) and artificial neural networks (ANN). The proposed approach was applied to tube leak detection in a utility boiler system. Results of the experimental testing are presented in the paper.

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Mokhtar Sadok, Imed Gharsalli, and Ali T. Alouani "Artificial-neural-network-based failure detection and isolation", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304808

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