A Novel Fault Diagnosis Method for Planetary Gearbox Under Variable Speed Operating Conditions

Aiming at the problem that the planetary gearbox fault signal under varying working conditions has the characteristics of multi-component modulation, non-stationary and weak features, which makes it difficult to extract the fault features, a novel planetary gearbox fault diagnosis method based on based on improved adaptive chirp mode decomposition (IACMD) and Maximum second-order cyclostationary blind deconvolution (CYCBD) is proposed. Firstly, the IACMD is used to decompose the non-stationary vibration signal, and the mode with the largest Gini index is selected as the sensitive component. Then, the selected sensitive modal component is resampled at equal angles to obtain angular domain signal. Finally, the CYCBD is used to enhance the weak fault features of the angular domain component, and the fault feature orders can be extracted from the envelope spectrum of deconvolution signal. The experimental results show that the proposed method can successfully extract the weak fault impact characteristics of planetary gearbox under varying working conditions, which verifies the effectiveness and feasibility of this method.