Vibration trend prediction of pumped storage units based on VMD and GRU

Effective prediction of vibration signals can provide an important basis for early warning of performance degradation and failure of pumped storage units. This paper proposes a vibration signal prediction method for pumped storage units based on variational mode decomposition (VMD) and gated recurrent unit neural network (GRU). The VMD-GRU prediction method has a significant improvement in effectiveness and prediction accuracy, which is of great application significance in actual engineering.