TY  - JOUR
T1  - Fault-Recovery Strategy on Critic Fault Tolerant Control Systems under FF Technology
AU - , G.R. Ferreiro AU - , C.J.L. Rolle 
JO  - Journal of Engineering and Applied Sciences
VL  - 3
IS  - 5
SP  - 401
EP  - 415
PY  - 2008
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2008.401.415
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2008.401.415
KW  - Neural networks
KW  -back propagation
KW  -residual generation
KW  -fault detection
KW  -fault isolation
KW  -functional redundancy
KW  -hardware redundancy
AB  - The aim of the study deals with some aspects of the functional and hardware redundancy in fault detection, fault isolation, decision making and system recovery to solve the problem of supplying wrong information to severe or critic control systems, achieving a fault tolerant control system. To get such objectives, back-propagation neural networks are used as universal functional approximation devices which are used as residuals generators. Residuals will be evaluated by means of rule based novelty strategies in a decision-making task. Implementation procedure is carried out with the facilities supplied by a FOUNDATION™ Fieldbus compliant tool, which manage databases, neural network structures and training algorithms under an standard object oriented environment. Experimental results on a heat exchanger pilot plant are satisfactory.
ER  -