Rolling bearing fault diagnosis based on PSO-VMD

To address the problem that the number of decomposition layers K and penalty factor a in variational modal decomposition (VMD) have a great influence on the accuracy of the decomposition results, a method is proposed to determine the optimal values of K and a using particle swarm optimization (PSO). In addition, a correlation analysis method is used to quantify the correlation between each component decomposed by VMD and the original signal of the fault, which helps to find the IMF component with more fault information among all IMF components. Finally, the simulation signal and experimental data of rolling bearing inner ring faults are analyzed and diagnosed respectively to verify the effectiveness of the PSO-VMD fault diagnosis method proposed in this paper.