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Neural network based framework for fault diagnosis in batch chemical plants

Autor
Ruiz, D.; Nougues, J.; Calderon, Z.; Espuña, A.; Puigjaner, L.
Tipus d'activitat
Article en revista
Revista
Computers & chemical engineering
Data de publicació
2000-06
Volum
24
Número
6
Pàgina inicial
777
Pàgina final
784
DOI
https://doi.org/10.1016/S0098-1354(00)00371-9 Obrir en finestra nova
Resum
In this work, an artificial neural network (ANN) based framework for fault diagnosis in batch chemical plants is presented. The proposed FDS consists of an ANN structure supplemented with a knowledge based expert system (KBES) in a block-oriented configuration. The system combines the adaptive learning diagnostic procedure of the ANN and the transparent deep knowledge representation of the KBES. The information needed to implement the FDS includes a historical database of past batches, a hazard ...
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants