Fault Diagnosis of Planetary Gear Based on H-P Filter and VMD

The torsional vibration signal of the faulty planetary gearbox has the characteristics of non-steady and non-linearity, time-domain fault characteristics are difficult to extract. In order to solve this problem, a time-domain feature separation method based on H-P filtering and VMD is proposed. H-P filtering is based on a competitive trend estimation algorithm, it can preserve the piecewise linear features in torsional vibration signals. The filtered signal is rich in content, VMD can decompose these contents into different modal components, fault impact characteristics prominent. By analyzing the torsional vibration signals under different loads, confirmed that the method can extract periodic pulses, diagnosis of planetary gear failure. Actual engineering applications are mostly complex signals, not conducive to diagnostic research, the method provides an effective solution, has a certain value of engineering applications.