Design and Implementation of Intelligent Fault Diagnosis System

Method of analog circuit fault diagnosis based on ANN (artificial neural network) and ES (expert system) is proposed according to the recent development of modern electronic testing technology and artificial intelligence. The structure and organizing of fault diagnosis system on analog circuit and i...

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Hauptverfasser: Yuan Huimei, Chen Zongying
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description Method of analog circuit fault diagnosis based on ANN (artificial neural network) and ES (expert system) is proposed according to the recent development of modern electronic testing technology and artificial intelligence. The structure and organizing of fault diagnosis system on analog circuit and its feasibility is mainly illustrated, and the platform of software based on Labview and Matlab is developed. Through the software, the system can manage its two main function module which are auto measurement module and fault diagnosis module working on an environment orderly. If a test program is loaded into the software platform, the corresponding circuit will be measured automatically. It is shown that the software platform has friendly interface, complete function and content with the need of intelligent fault diagnosis.
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subjects Analog circuits
Artificial intelligence
Artificial neural networks
Circuit testing
Diagnostic expert systems
Electronic equipment testing
Fault diagnosis
Intelligent systems
Software measurement
System testing
title Design and Implementation of Intelligent Fault Diagnosis System
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