Space-time model and spectrum mechanism on vibration signal for planetary gear drive. (15th August 2019)

• Record Type: Journal Article
• Authors: Zeng, Zhijie; Ding, Kang; He, Guolin; Li, Weihua
• Is Part Of: Mechanical systems and signal processing. Volume 129(2019)
• Page Start: 164
• Page End: 185
• Publication Date: 2019-08-15
• Subjects: Deformable transfer path -- Time-varying problem -- Space-time model -- Spectrum analysis -- Planetary gears; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2019.04.039
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: A deformable transfer path premised model presents the vibration signal of planetary gears. A numerical method presents to quantify signal respecting frequency and amplitude features. The approaches are practical tools to predict spectral features of planetary gears with defects. The validity of the methodology is verified by simulation and experimental signals. Abstract: Planetary gear drives pose complex vibration signals due to that the excitations of the signal are the space-time varying meshing forces and the transfer paths for the excitations are time-varying systems. It brings about difficulties in machine diagnostics field to model, to predict, and to interpret the spectrum mechanism of the signal. This paper suggests a space-time model for this time-varying problem. Premised on deformable-body transfer path, the model formulates the response signal in frequency-domain as an integral transform of the excitations, where the transform kernel is formulated by the product of the Fourier kernel and the Frequency Response Function of the transfer path. A corresponding numerical method is also proposed for the numerical computation of the signal. Comparing with the existing model and method premised on rigid body transfer path, the proposed approach presents higher accuracy on signal prediction and spectral feature interpretation with respect to the frequency, amplitude and modal information.