Fault detection and diagnosis based on fuzzy qualitative reasoning

被引：0

作者：

Calado, JMF ^{[1
]}

Roberts, PD ^{[1
]}

机构：

[1] Univ Tecn Lisboa, Inst Super Tecn, Control Automat & Robot Grp, P-1096 Lisbon, Portugal

来源：

(SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3 | 1998年

关键词：

fault detection; fault diagnosis; qualitative simulation; fuzzy sets; membership functions;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An on-line fault detection and diagnosis system, based on a fuzzy qualitative simulation algorithm, is presented. In order to test the performance and reliability of the system a computational TURBO C++ program with a hierarchical structure, has been developed. The fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. Single and double simultaneous abrupt faults have been considered, and successful results have been obtained in simulation studies conducted with a mixing process. Copyright (C) 1998 IFAC.

引用

页码：513 / 518

页数：6

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