Under the background of smart grid development,the stability and efficiency of substations are very important.The application of artificial intelligence provides a powerful tool for real-time monitoring and intelligent analysis of substation operation data,which can accurately identify and predict potential faults and realize intelligent evaluation and fault early warning of equipment status.This paper systematically introduces the design and implementation of substation equipment fault prediction and diagnosis system based on artificial intelligence,including data identification,automatic data monitoring,real-time fault detection,automatic fault early warning and data-driven fault diagnosis and testing.The efficiency and accuracy of the system are verified by the actual operation test.
artificial intelligencesubstation equipmentfault predictiondiagnostic system
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