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Identifying weak fault features caused by an incipient tooth crack in a planetary gearbox is difficult. To characterize the fault features of incipient tooth cracks in a planetary gear train, this paper established a transmission-structure-coupled nonlinear dynamic model that includes the effect of crack damage with lumped parameter method. Based on potential energy method, a mathematical model of time-varying mesh stiffness and transmission error was established. The effect of crack damage was incorporated into the nonlinear dynamic transmission model through stiffness excitation and displacement excitation functions. Furthermore, the vibration response of the planetary transmission system was solved, indicating that the difference in transmission error between internal and external transmission branches is an important cause of non-uniform load distribution. Moreover, a finite element model of the gearbox was built in the ANSYS Workbench environment. After applying the reaction forces of the sun gear, the carrier and the ring gear on the bearing housings of the gearbox, and including the modulation effect of the carrier rotation with a window function, frequency analysis can be conducted on the simulated vibration signals to identify the damage mode of the tooth crack. Finally, a test rig of the planetary gearbox was constructed, based on which a set of vibration tests were conducted to detect the tooth crack. The consistencies of the simulated and experimental signals prove that the proposed transmission-structure-coupled dynamic model can accurately reveal the fault mechanism of the planetary gearbox with an incipient tooth crack. The fault features of this planetary gearbox demonstrate a set of modulated sidebands around the mesh frequency. Additionally, the intervals of the modulated sidebands are the fractional frequencies doubling of the fault frequency and carrier rotation frequency. © 2019, Editorial Board of Journal of Tianjin University(Science and Technology). All right reserved.
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Journal of Tianjin University Science and Technology
ISSN: 0493-2137
CN: 12-1127/N
Year: 2019
Issue: 11
Volume: 52
Page: 1117-1128
Cited Count:
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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