Design of Intelligent Monitoring System for Hydropower Station Based on Deep Learning
This paper describes a design of an intelligent monitoring system based on deep learning,which adopts a modular architecture and achieves real-time monitoring,fault diagnosis,and intelligent decision support of hydropower station operation status through data acquisition and preprocessing,deep learning model training,anomaly detection,and human-computer interaction modules.
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