FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks

被引：21

作者：

Calado, JMF

da Costa, JMGS

Bartys, M

Korbicz, J

机构：

[1] Univ Tecn Lisboa, Dept Mech Engn, Inst Super Tecn, GCAR,IDMEC, P-1049001 Lisbon, Portugal

[2] Inst Super Engn Lisboa, Polytech Inst Lisbon, Mech Engn Studies Ctr, IDMEC,ISEL, P-1950062 Lisbon, Portugal

[3] Warsaw Univ Technol, Inst Automat Control & Robot, PL-02525 Warsaw, Poland

[4] Univ Zielona Gora, Inst Control & Comp Engn, PL-65246 Zielona Gora, Poland

来源：

CONTROL ENGINEERING PRACTICE | 2006年 / 14卷 / 06期

关键词：

fault detection; fault isolation; qualitative simulation; fuzzy sets; neural networks; control valves; industrial actuators;

D O I：

10.1016/j.conengprac.2005.03.025

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

A computer-assisted fault detection and isolation (FDI) based on a fuzzy qualitative simulation algorithm used for fault detection purposes, coupled with a hierarchical structure of fuzzy neural networks used to perform the fault isolation task, is presented. The DAMADICS benchmark actuator system has been used as test bed of the current FDI system. Single abrupt and incipient faults, as well as multiple Simultaneous faults have been considered to test the overall system robustness. The results obtained prove the efficiency of the proposed FDI system. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：685 / 698

页数：14

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