Fault diagnosis of planet bearing inner rings based on selfself-adaptive noise cancellation and autogram

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (20) : 183-189.

LIU Zhen,GUO Yu,WU Xing

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Abstract

In planetary gearboxes, planetary bearing fault information is often submerged in complex gear meshing vibrations and background noise. On the other hand, the traditional Fast Kurtogram (FK) method has certain limitations in determination of the resonance demodulation frequency band, which makes fault extraction of planetary bearing difficult. To solve this problem, a fault diagnosis method for planetary bearings based on Self-Adaptive Noise Cancelling (SANC) and Autogram was proposed. Firstly, the bearing signal was separated by SANC; then the optimized resonance demodulation band was selected based on Autogram, and the fault feature was extracted by the envelope analysis. Experiments show that Autogram can overcome the defects of FK and other traditional methods in optimizing the resonant demodulation band under low signal-to-noise ratio, and effectively extract fault characteristic of the inner ring of a planetary bearing.

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planet bearings / SANC / autogram / FK / fault diagnosis

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LIU Zhen,GUO Yu,WU Xing. Fault diagnosis of planet bearing inner rings based on selfself-adaptive noise cancellation and autogram[J]. Journal of Vibration and Shock, 2020, 39(20): 183-189

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