At present, planetary gear mechanism has been widely used in the transmission systems of automobiles, ships, airplanes, excavators and loaders. Therefore, the health of the planetary gear mechanism is directly related to the normal operation of the whole machine.
In the actual working environment, due to the large load that the planetary gear mechanism often bears, the key parts of the mechanism are very prone to failure, and may cause accidents such as unplanned shutdown, and even serious accidents such as casualties. Therefore, it is of great significance to analyze and study the structure and fault signal of planetary gear mechanism to ensure the safe and reliable operation of corresponding mechanical equipment.
At present, many scholars at home and abroad have done a lot of research on various gear boxes and corresponding gear vibration signals, and have achieved fruitful results.
Li Yuheng et al. proposed a new fault diagnosis method for planetary gearbox. This method combines harmonic effective index and fine composite multi-scale dispersion entropy to solve the problem that gear fault information is difficult to quantify. Gui Yong and others built a dynamic model of planetary gear system with various manufacturing errors, analyzed the impact of gear crack failure on time-varying meshing stiffness and transmission error, and summarized the characteristic frequency of gear crack failure. LI Yong zhu et al. made an in-depth study on gear tooth faults by using the vibration separation method, and improved the accuracy of gear fault classification by using the vibration separation method. Chen Zhenyu et al. proposed a new method, that is, the improved symbol sequence entropy is introduced into the feature extraction of rolling bearing degradation, which improves the filtering ability of bearing to noise and impact. Based on the dynamic model of the planetary gear mechanism, ZUO MJ et al. analyzed the meshing stiffness between the important parts of the planetary gear mechanism under different working conditions, and explored the signal characteristics of the gear mechanism under various working conditions. SHI Jun chuan [9] et al. studied the fault diagnosis of planetary gearbox by using bidirectional convolution LSTM network, and proposed a new method, which can accurately identify the fault type, location and direction of planetary gearbox. Ding Chuang et al. established the dynamic model of planetary gear system, studied the influence of gear crack fault on gear mesh stiffness, and summarized the characteristic frequency of gear fault. LIU Jing et al. studied the influence of planetary bearing roller profile modification on the vibration of planetary gear system, and concluded that proper torque and input speed are conducive to controlling DPGSs vibration.
In order to better diagnose the planetary gear crack fault of the planetary gear mechanism, based on the above research, the author takes a certain type of automobile planetary gear box as the research object, and uses SolidWorks, ANSYS APDL, ANSYS Workbench, ADAMS software to accurately establish the rigid flexible coupling dynamic model of the automobile planetary gear mechanism and reveal the mechanism of the planetary gear crack fault; The accuracy of the model is verified by calculating the transmission ratio of the gear train, and the characteristics of the simulated crack fault signal are studied and analyzed.