Dynamic Characteristics of Encased Differential Gear Train with Journal Bearing

Yang, Jie; Yue, Yanjiong; Zhu, Rupeng; Chen, Weifang; Li, Miaomiao

doi:10.1155/2020/2436191

Cited by 6 publications

(6 citation statements)

References 22 publications

(26 reference statements)

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“…When a high-speed train runs at high speed for a long time, the gearbox bearing is prone to cracks and deformation. Additionally, the wheelset of the running gear system will be squeezed and worn when it touches the ground for a long time, and this will be corroded by different environments while staying at a high-temperature status [35]. e air spring also has the possibility of gas leakage, and the stiffness degradation of the shock absorber steel spring can occur.…”

Section: Problem Descriptionmentioning

confidence: 99%

Health Assessment of High-Speed Train Running Gear System under Complex Working Conditions Based on Data-Driven Model

Cheng

Liu

Zhang

et al. 2020

Mathematical Problems in Engineering

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It is very important for the normal operation of high-speed trains to assess the health status of the running gear system. In actual working conditions, many unknown interferences and random noises occur during the monitoring process, which cause difficulties in providing an accurate health status assessment of the running gear system. In this paper, a new data-driven model based on a slow feature analysis-support tensor machine (SFA-STM) is proposed to solve the problem of unknown interference and random noise by removing the slow feature with the fastest instantaneous change. First, the relationship between various statuses of the running gear system is analyzed carefully. To remove the random noise and unknown interferences in the running gear systems under complex working conditions and to extract more accurate data features, the SFA method is used to extract the slowest feature to reflect the general trend of system changes in data monitoring of running gear systems of high-speed trains. Second, slowness data were constructed in a tensor form to achieve an accurate health status assessment using the STM. Finally, actual monitoring data from a running gear system from a high-speed train was used as an example to verify the effectiveness and accuracy of the model, and it was compared with traditional models. The maximum sum of squared resist (SSR) value was reduced by 16 points, indicating that the SFA-STM method has the higher assessment accuracy.

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Section: Problem Descriptionmentioning

confidence: 99%

Health Assessment of High-Speed Train Running Gear System under Complex Working Conditions Based on Data-Driven Model

Cheng

Liu

Zhang

et al. 2020

Mathematical Problems in Engineering

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“…The trajectory of the gear shaft supported by the journal bearings can have significantly larger orbits (depending on the hydrodynamic clearance) and stronger coupled stiffness compared with roller bearings [10]. The findings from [11] and [12] for the case of a marine propulsion gearbox showed that the journal bearings influenced the gear meshing forces. There are only a few publications available regarding the influence on the gear forces of a wind turbine gearbox when roller bearings are replaced with journal bearings.…”

Section: Introductionmentioning

confidence: 99%

The influence of journal bearings on the gearbox dynamics of a 5 MW wind turbine drivetrain

Siddiqui,

Chodvadiya,

Luo

2023

J. Phys.: Conf. Ser.

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In recent years, journal bearings have been replacing roller bearings in wind turbine gearboxes, as they are believed to provide higher reliability compared with roller bearings. However, replacing roller bearings with journal bearings can drastically change the gearbox dynamics. Journal bearings have complex dynamics at different operating speeds, and, as a wind turbine operates at various speeds, it is vital to analyze the gearbox dynamics for the entire speed range. This contribution presents the dynamic response of a wind turbine gearbox when the roller bearings of the high-speed shaft are replaced with journal bearings. This is done by performing a comparative case study using a detailed multibody simulation (MBS) model of a 5 MW reference wind turbine drivetrain. A dynamic model of the journal bearings, developed in Simulink, is dynamically coupled with the 5 MW drivetrain MBS model using co-simulation. The simulation results for the gearbox vibration as well as gear forces are compared with the simulation results of the drivetrain model with roller bearings. The findings from this work will help in clarifying the advantages (or disadvantages) of using journal bearings instead of roller bearings in wind turbine gearboxes.

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“…Zhang et al [6][7][8] studied the dynamic characteristic of a coaxial contrarotating encased differential gear train. Yang et al [9] investigated the dynamic characteristic of an encased differential gear train with journal bearing. Despite the considerable research conducted by scholars on the dynamic characteristics of encased differential planetary gear systems, there remains a lack of in-depth investigation into the floating support structures and their load-sharing characteristics.…”

Section: Introductionmentioning

confidence: 99%

Effect of Floating Support Parameters on the Load-Sharing Performance of EDPGS Based on Mathematical Statistical Methods

Che,

Zhu

2024

Machines

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The encased differential planetary gear system (EDPGS) allows power to be distributed among multiple output paths, enhancing efficiency and reducing weight. Uniform load distribution ensures stable system operation and prolongs service life. However, stochastic manufacturing errors leading to uneven load distribution pose challenges in engineering practice. To investigate the impact of floating support parameters on the load-sharing performance within an acceptable tolerance band, a dynamic model of the EDPGS considering time-varying meshing stiffness and random errors is established using the Monte Carlo method. This study employs the orthogonal experimental design method to analyze the effects of floating support stiffness and clearance on the load-sharing characteristics. The findings indicate that a larger sample size leads to a probability distribution of load-sharing coefficients closer to the Gaussian distribution, with minimal influence on the expectation and variance. Furthermore, this study highlights the significant influence of floating structure parameters on load-sharing characteristics in the encased stage systems compared to the differential stage. Decreasing floating support stiffness or increasing floating clearance proves beneficial in enhancing the load-sharing performance of the system.

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Dynamic Characteristics of Encased Differential Gear Train with Journal Bearing

Cited by 6 publications

References 22 publications

Health Assessment of High-Speed Train Running Gear System under Complex Working Conditions Based on Data-Driven Model

Health Assessment of High-Speed Train Running Gear System under Complex Working Conditions Based on Data-Driven Model

The influence of journal bearings on the gearbox dynamics of a 5 MW wind turbine drivetrain

Effect of Floating Support Parameters on the Load-Sharing Performance of EDPGS Based on Mathematical Statistical Methods

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