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Orientador(es)
Resumo(s)
A model-based fault detection (FD) system was developed for a Simulink simulation of a four pool irrigation canal in ´Evora, Portugal. Incipient and abrupt faults in the gates, the water off-take valves and the water level sensors were considered. Neural Networks were used to model the canal and find the residue. The training algorithm employed for the NNs was found to be an important factor determining the success of the FD system.
Descrição
Palavras-chave
Fault detection Fault-tolerant systems Control applications Neural networks Irrigation canals
Contexto Educativo
Citação
LOURO, Diogo; [et al] – Fault detection system for the Évora irrigation canal. IFAC Proceedings Volumes. ISSN 1474-6670. Vol. 45, N.º 20 (2012), pp. 750-755
Editora
Elsevier