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Synthetic Intelligent Fault Diagnosis Technology for Complex Process

高技术通讯（英文版）2002，Vol.8Issue(2)：72-75,4.

Synthetic Intelligent Fault Diagnosis Technology for Complex Process

作者信息

1. College of Information Science & Engineering, Central South University, Changsha 410083, P.R.China;College of Information Science & Engineering, Central South University, Changsha 410083, P.R.China;College of Information Science & Engineering, Central South University, Changsha 410083, P.R.China
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摘要

Abstract

A fault diagnosis method of knowledge-based fuzzy neural network is proposed for complex process, which is hard to develop practical mathematical model. Fault detection is performed through a knowledge-based system, where fault detection heuristic rules have been generated from deep and shallow knowledge of the process. The fuzzy neural network performs the fault diagnosis task. This method does not need practical mathematical models of objects, so it is a strong implement for complex process.

关键词

fault detection/fault diagnosis/knowledge-based system/fuzzy neural network

Key words

fault detection/fault diagnosis/knowledge-based system/fuzzy neural network

分类

信息技术与安全科学

引用本文复制引用

..Synthetic Intelligent Fault Diagnosis Technology for Complex Process[J].高技术通讯（英文版）,2002,8(2):72-75,4.

基金项目

Supported by the High Technology Research and Development Program of China. （）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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