An automatic sensor validation strategy for the five-channel DCN (Deuterium-Carbon-Nitrogen) interferometer installed at ENEA-FTU (Frascati) is presented. The approach proposed is based on a neural model of the observed system, i.e. a model able to emulate the behaviour of a fault-free sensor and on a two-stage fuzzy system able to detect the occurrence of a fault by using a set of suitable indicators. The validation strategy has been implemented and embedded in an interactive software tool installed at FTU.
Automatic validation of the five-channel DCN interferometer in ENEA-FTU based on soft-computing techniques / Buceti, G.; Fortuna, L.; Rizzo, A.; Xibilia, M. G.. - In: FUSION ENGINEERING AND DESIGN. - ISSN 0920-3796. - STAMPA. - 60:3(2002), pp. 381-387. [10.1016/S0920-3796(02)00036-4]
Automatic validation of the five-channel DCN interferometer in ENEA-FTU based on soft-computing techniques
Rizzo, A.;
2002-01-01
Abstract
An automatic sensor validation strategy for the five-channel DCN (Deuterium-Carbon-Nitrogen) interferometer installed at ENEA-FTU (Frascati) is presented. The approach proposed is based on a neural model of the observed system, i.e. a model able to emulate the behaviour of a fault-free sensor and on a two-stage fuzzy system able to detect the occurrence of a fault by using a set of suitable indicators. The validation strategy has been implemented and embedded in an interactive software tool installed at FTU.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
