Unit health state prediction based on VMD-TCN

To address the problem that it is difficult to accurately predict the health status of hydropower units using real-time monitoring data, this paper proposes a method for predicting the health status trend of hydropower units based on variational modal decomposition (VMD) and time convolution network (TCN); considering the nonlinear factors of the trend series of hydropower unit vibration index, a time series prediction model based on VMD-TCN is established to achieve accurate prediction of unit health status. And multiple sets of comparison experiments are designed to verify the higher accuracy and faster time of the proposed model.