25 March 1998 Artificial-neural-network-based failure detection and isolation
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mokhtar Sadok, Imed Gharsalli, Ali T. Alouani, "Artificial-neural-network-based failure detection and isolation", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); doi: 10.1117/12.304808; https://doi.org/10.1117/12.304808

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