FDI and accommodation using NN based techniques

Authors:
Ramon Ferreiro Garcia;Alberto De Miguel Catoira;Beatriz Ferreiro Sanz
Affiliations:
ETSNM, Dept Industrial Eng., University of La Coruna;ETSNM, Dept Industrial Eng., University of La Coruna;ETSNM, Dept Industrial Eng., University of La Coruna
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Year:
2010

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Abstract

Massive application of dynamic backpropagation neural networks is used on closed loop control FDI (fault detection and isolation) tasks The process dynamics is mapped by means of a trained backpropagation NN to be applied on residual generation Process supervision is then applied to discriminate faults on process sensors, and process plant parameters A rule based expert system is used to implement the decision making task and the corresponding solution in terms of faults accommodation and/or reconfiguration Results show an efficient and robust FDI system which could be used as the core of an SCADA or alternatively as a complement supervision tool operating in parallel with the SCADA when applied on a heat exchanger.