Bearing Fault Diagnosis Based on De-Phase Algorithm and Myriad Filtering

摘要

As a kind of key components of equipments, bearing plays an important role in power transmission. Meanwhile, it is prone to failure. Furthermore, its failure might cause great economic losses and catastrophic disasters. Therefore, we need to investigate the resolutions for unexpected bearing failure. In this paper, a combinational method is proposed to diagnose the bearing fault of fixed-axis gearbox. Fault signal was first processed by the de-phase algorithm to suppress the gear mesh frequency and its harmonics. Then, this post-processed signal was inputted to myriad filtering to enhance the impulsive signal produced by bearing faults. Finally, we conducted a gearbox implanted bearing fault test to validate the effectiveness of proposed methods. The results meet the expected effect of that proposed methods.