Research on Fault Diagnosis and Intelligent Monitoring Strategy in Electrical Automation System
With the wide application of electrical automation system in industrial production,the reliability and fault diagnosis ability of the system have become the focus of attention.This paper discusses the problem of fault diagnosis and intelligent monitoring in electrical automation system.Firstly,the common fault types and their causes of electrical automation system are analyzed,and the traditional fault diagnosis methods and their limitations are introduced.Then,a fault diagnosis and intelligent monitoring strategy based on artificial intelligence technology is proposed,including data collection,feature extraction,pattern recognition and decision support.This strategy uses machine learning,neural networks and other technologies to realize real-time monitoring and fault prediction of the system operation status and improve the reliability and maintenance efficiency of the system.Finally,the effectiveness of the proposed strategy is verified by simulation experiments.The research results in this paper can provide theoretical guidance and technical support for fault diagnosis and intelligent monitoring of electrical automation systems.
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