Fault feature extraction of planet bearings based on vibration signal separation

Due to planet bearings vibration signals' time-varying transmission path, and stronger meshing vibration signals in a planetary gearbox, fault feature extraction of planet bearings is more difficult. Here, a fault feature extraction method of planet bearings based on vibration signal separation was proposed. Firstly, an original vibration signal was isometrically sampled with the order analysis technology. Secondly, a Tukey window was used for windowing interception during planet carrier rotating each revolution. The intercepted signals were reassembled according to meshing teeth sequence to construct vibration separation signals. Then, the discrete random separation technology was utilized to extract fault components of a planet bearing from vibration separation signals. Finally, fault features were extracted with the envelope spectral analysis from fault components. Analyses for actual measured signals of planet bearing inner race faults showed that the proposed method can effectively extract fault features of planet bearings. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.