Research on the condition monitoring and prediction technology of water conservancy and hydropower equipment based on artificial intelligence
This paper establishes an efficient monitoring and prediction system by adopting advanced algorithms in deep learning,such as long short-term memory(LSTM)and support vector machine(SVM).The experimental results show that the proposed method has made significant progress in model accuracy and real-time performance,providing feasible intelligent solutions for the water conservancy and hydropower industry.
artificial intelligencewater conservancy and hydropower equipmentstatus monitoring
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