A model-based method for an online diagnostic knowledge-based system

被引：13

作者：

Angeli, C ^{[1
]}

Atherton, D ^{[1
]}

机构：

[1] Univ Sussex, Sch Engn & Informat Technol, Brighton BN1 9QT, E Sussex, England

来源：

EXPERT SYSTEMS | 2001年 / 18卷 / 03期

关键词：

expert systems; model based fault diagnosis; fault prediction; real time process;

D O I：

10.1111/1468-0394.00167

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fault diagnosis is very important for modern production technology and has received increasing theoretical and practical attention during the last few years. This paper presents a model-based diagnostic method for industrial systems. An online, real-time, deep knowledge based fault detection system has been developed by combining different development environments and tools. The system diagnoses, predicts and compensates faults by coupling symbolic and numerical data in a new environment suitable for the interaction of different sources of knowledge and has been successfully implemented and tested on a real hydraulic system.

引用

页码：150 / 158

页数：9

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