Vibration Characteristics of the Gear–Rotor-Bearing Transmission System Under External Impacts

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Authors: Wenbing Tu, Guangya Zhao, Dengliang Hu, Chaodong Zhang, Zhaoping Tang, Wennian Yu
Cited by: 2
References: 40

Abstract

Many industrial machines inevitably suffer from external impacts which can change the meshing state of gears and thus affect the vibration characteristics of the gear transmission system. Previous studies mostly directly applied external impact excitation to the gear pair, with few considering the gear–shaft-bearing system. In reality, external impact excitation first acts on the bearing ends and then is transmitted to the gear ends through the transmission shaft. Therefore, the paper established a bending–torsion coupled dynamic model of the gear–shaft-bearing transmission system, taking into account external impacts, gear eccentricity, time-varying meshing stiffness, transmission error, shafts elastic deformation and nonlinear reactions forces. The vibration characteristics of the bending–torsion coupled gear–shaft-bearing transmission system under external impacts were analyzed in the time and frequency domains. Additionally, the effects of impact load amplitude and impact duration on gear vibration characteristics were investigated. External impacts instantaneously amplified the vibrational energy of the gear pair, which promotes the generation of impact components and increases the vibration acceleration signal amplitude in the time domain. Distinct sidebands emerge in the frequency domain, with meshing impacts intensified during gear operation. Furthermore, as the impact load amplitude increases and the impact duration is shortened, the vibration characteristics of the gear transmission system become more pronounced. The findings provide important theoretical insights and practical engineering significance for improving the reliability and service life of gear transmission systems.

Fields of Study & Subjects

Gear and Bearing Dynamics Analysis Engineering and Materials Science Studies Machine Fault Diagnosis Techniques

Publication details

Journal / source
Machines
Publisher
MDPI AG
Volume
14
Issue
3
Pages
293–293
Publication date
4 March 2026
Language
EN