Planet bearings are important monitoring objects in the field of faults diagnosis. However, the strong periodic interference from gear meshing, background noise and the time-varying vibration transmission paths caused by the epicyclic motion of planet gears make the fault detection of a planet bearing difficult. To address this issue, a scheme is proposed based on the cepstrum pre-whitening (CPW) and the spectral correlation analysis for the planet bearing fault detection. Experiments on a planetary gearbox test rig are carried out. The spectral correlation density (SCD), the fast kurtogram (FK), the combination of the self-adaptive noise cancellation (SANC) and the FK and the proposed scheme are used respectively to extract the frequency lines related to the planet bearing outer race defect. Comparison of results show that the proposed scheme is superior to other methods on the faults detection of planet bearings.
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