Asynchronous Motor Fault Diagnosis Output Based on VMD-XGBoost

For the common fault diagnosis of asynchronous motors, Variational Mode Decomposition (VMD) and Extreme Gradient Boosting (XGBoost) models are proposed to perform fault diagnosis output of asynchronous motors. The stator current of asynchronous motor is obtained by electromagnetic field simulation. Then VMD decomposition is performed on the three-phase stator currents of A, B and C respectively, and the approximate entropy of the fault is extracted as the fault feature. Finally, it is input into the XGBoost model for motor fault diagnosis. The experimental results show that the diagnosis method combining VMD and XGBoost can realize the output of fault type diagnosis, which has important practical significance.