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. © 2002 Elsevier Science B.V. All rights reserved.
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Civil and Structural Engineering
- Mechanical Engineering
Buceti, G., Fortuna, L., Rizzo, A., & Xibilia, M. G. (2002). Automatic validation of the five-channel DCN interferometer in ENEA-FTU based on soft-computing techniques. Fusion Engineering and Design, 60(3), 381 - 387. https://doi.org/10.1016/S0920-3796(02)00036-4