An investigation on vibration features of a gear-bearing system involved pitting faults considering effect of eccentricity and friction

Liu

et al. 2023

Preprint

Self Cite

A gear-bearing dynamic model is presented to investigate the vibration features of the gear transmission system with a misaligned shaft angle. The time-varying mesh stiffness (TVMS), time-varying pressure angle and eccentricity are considered in the model. In addition, a new expression of the load distribution function for the gear tooth is proposed to obtain accurate effects of the misaligned shaft angle on the TVMS. Based on the proposed model, the vibration of the system and the TVMS are solved jointly. This model is solved by the 4th Runge-Kutta, and the TVMS is calculated by the energy potential method where one mesh stiffness value is determined by each time-varying misaligned shaft angle. Effects of the misaligned shaft angle on the vibration features are analyzed by the time-domain, frequency-domain and statistical indicator features.

“…Substituting equations (22)(23)(24) into (27), the differential equations of the system are obtained. The vibration differential equations of the input and output are shown in Eq.…”

Section: Derivation Of Dynamics Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling and vibration feature analysis of a spur gear-bearing system with a misaligned shaft angle

Liu

et al. 2023

Preprint

Self Cite

“…where, τ is the coefficient of the nonlinear function that can be defined as 0 in this paper. 17 b is the gear backlash. Figure 6 is a diagram of the gear pair meshing.…”

Section: The Dynamic Model Of the Gear Systemmentioning

confidence: 99%

“…The dynamic characteristics of the gear system are very complicated, so it is significant to study the mechanism of its influence on the healthy operation of the system. Zhao Weiqiang et al 17 investigated the vibration characteristics of a pitting fault gear transmission system considering the effects of eccentricity and friction. Zheng Cao et al 18 proposed a cylindrical spur gear dynamics model considering the effects of time-varying meshing stiffness, tooth clearance and tooth misalignment.…”

Section: Introductionmentioning

confidence: 99%

Investigation of vibration characteristics of gear-bearing transmission system considering the effect of profile shifted coefficient

Wang

Liu

Journal of Low Frequency Noise, Vibration and Active Control

2023

Self Cite

In this paper, a dynamics model of the gear-bearing transmission system with bending and torsion coupling is established, and the influence of gear shifted on the vibration characteristics of the gear system is considered. First, the time-varying mesh stiffness of the profile shifted gear is derived by using the potential energy method. Then, based on the Lagrange equation numerical method, the vibration differential equation of the model is obtained, and the differential equation is solved by the fourth-order Runge-Kutta method. Finally, the influence of the profile shifted coefficient and input torque on the vibration characteristics of the gear transmission system is analyzed by using the time domain graph and the frequency domain graph. The conclusions drawn from this study can help engineers better understand the running performance and vibration characteristics of profile shifted gear.

“…Subsequently, they [ 18 ] examined a calculation method for the ball passing frequency on raceways with surface defects. Zhao et al [ 19 ] analyzed the vibration features of a pitting fault gear system considering eccentricity and friction. Liu et al [ 20 ] proposed a defect simulation method and established a relationship between the defect size and the impulse response.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Friction Fault of Lightly Loaded Flywheel Bearing Cage and Its Fault Characteristics

Chen

Deng

Wang³

et al. 2022

Sensors

Because of the operating environment and load, the main fault form of flywheel bearing is the friction fault between the cage and the rolling elements, which often lead to an increase in the friction torque of the bearing and even to the failure of the flywheel. However, due to the complex mechanism of the friction fault, the characteristic frequencies often used to indicate cage failure are not obvious, which makes it difficult to monitor and quantitatively judge such faults. Therefore, this paper studies the mechanism of the friction fault of the flywheel bearing cage and establishes its fault feature identification method. Firstly, the basic dynamic model of the bearing is established in this paper, and the friction between the cage and the rolling elements is simulated by the variable stiffness. The influence law of the bearing vibration response reveals the relationship between the periodic fluctuation of cage-rolling element friction failure and the bearing load. After analyzing the envelope spectrum of the vibration data, it was found that when a friction fault occurred between the cage and the rolling element, the rotation frequency component of the cage modulated the rotational frequency component of the rolling element, that is, the side frequency components appeared on both sides of the characteristic frequency of the rolling element (with the characteristic frequency of the cage as the interval). In addition, the modulation frequency components of the cage and rolling element changed with the severity of the fault. Then, a modulation sideband ratio method based on envelope spectrum was proposed to qualitatively diagnose the severity of the cage-rolling element friction faults. Finally, the effectiveness of the presented method was verified by experiments.