Automatic validation of the five-channel DCN interferometer in ENEA-FTU based on soft-computing techniques

被引：15

作者：

Buceti, G

Fortuna, L

Rizzo, A

Xibilia, MG

机构：

[1] Univ Catania, Dip Elettr Elettron & Sistemist, I-95125 Catania, Italy

[2] EURATOM, ENEA Fus, Ctr Ric Frascati, I-00044 Frascati, Italy

[3] Univ Messina, Dip Matemat, I-98166 Messina, Italy

来源：

FUSION ENGINEERING AND DESIGN | 2002年 / 60卷 / 03期

关键词：

sensor validation; diagnostics; interferometry; monitoring; soft computing;

D O I：

10.1016/S0920-3796(02)00036-4

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

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. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：381 / 387

页数：7

共 12 条

[1] Dynamic process fault monitoring based on neural network and PCA [J].