Analysis of Intelligent Diagnosis Technology for Equipment Status in Hydroelectric Power Generation
This paper describes key technologies such as data collection and preprocessing,feature extraction and selection,and intelligent diagnostic model construction.It proposes a deep learning diagnostic model based on a combination of convolutional neural networks and long short-term memory networks to achieve accurate evaluation and fault warning of electrical equipment status in hydropower stations.
intelligent diagnosisdeep learningequipment status assessmenthydroelectric power plants
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