A self-adaptive fitting trend prediction and analysis method combining short-term temperature historical data and unit operating conditions is proposed to address the frequent changes in operating conditions of hydropower plants,multiple temperature measurement points for various bearing pads,and limited computer resources.Tests have shown that this algorithm can accurately predict the trend of bearing temperature changes during the complete startup and shutdown process of hydraulic turbines.
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