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Hybrid SE-attention-CNN-LSTM network for hydraulic turbine water guide bearing temperature prediction in hydropower generation station

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Ahead of Print.
Accurate prediction of the water turbine bearing temperature is of great significance to ensure safe operation and improve economic benefits of the hydropower station. The water turbine bearing temperature forecasting is a challenging problem due to the ...