Nonlinear response analysis of gear-shaft-bearing system considering tooth contact temperature and random excitations

Pan, Wujiu; Li, Xiaopeng; Wang, Linlin; Yang, Zhou

doi:10.1016/j.apm.2018.10.022

Cited by 69 publications

(23 citation statements)

References 27 publications

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“…e gear-shaft-bearing system is the most commonly used rotation transmission mechanism, and its health is directly related to the reliable operation of the entire equipment [1]. Due to the harsh and complex working environment, the localized defects of gears and bearings are easily caused [2].…”

Section: Introductionmentioning

confidence: 99%

Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1

Dai

Wang

et al. 2022

Shock and Vibration

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In the defect diagnosis of the gear-shaft-bearing system with compound defects, the generated vibration signals are complicated. In addition, the information acquired by a single sensor is easily affected by uncertain factors, and low diagnostic accuracy is caused when traditional defect diagnosis methods are used, which cannot meet the high-precision diagnosis requirements. Therefore, a method is developed to identify the defect types and defect degrees of the gear-shaft-bearing system efficiently. In this method, the vibration signals are collected using multiple sensors, the dual-tree complex wavelet and the optimal weighting factor (OWF) methods are used for the data layer fusion, and the preprocessing is realized through wavelet transform and FFT. A learning model based on two-stream CNN composed of 1D-CNN and 2D-CNN is established, and the obtained wavelet time-frequency map and FFT spectrum are used as the input. Then, the trained features from the output of the connected layer are classified by the SVM. Compared with the OWF-1DCNN and OWF-2DCNN models, the time consumption of the OWF-TSCNN model is increased by 14.5%–26.6%, and the convergence speed of the network is decreased. However, its accuracy reaches 100% and 99.83% in the training set and test set, and the loss entropy and over-fitting rate are also greatly reduced. The feature extraction ability and generalization ability of the OWF-TSCNN model are increased, reaching 100% diagnosis accuracy on different defect types and defect degrees, which is more suitable for defect diagnosis of the gear-shaft-bearing system.

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Section: Introductionmentioning

confidence: 99%

Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1

Dai

Wang

et al. 2022

Shock and Vibration

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“…For early fault detection, Shi et al [30] analyzed the fault characteristics under variable load. Pan et al [31] analyzed the frequency components of the vibration signal in the fault and the healthy state. Considering the flexible ring gear and bearing fault, Liu et al [32] presented a rigid-flexible coupling planetary gear dynamic model.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of a Fault Planetary Gear System under Nonlinear Parameter Excitation

Han

Liu

Liang

et al. 2021

Shock and Vibration

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In order to facilitate lubrication and avoid the gear stuck due to thermal expansion, there needs to be a gap between the tooth profiles. As a strong nonlinear factor, the backlash will affect the motion state of the planetary gear system. When the gear failures occur, the motion state of the system will accordingly change. In this study, the meshing stiffness of the gear pair with tooth tip chipping fault is calculated by combining the analytic geometry method and the potential energy method. Then, a new nonlinear dynamic model including tooth backlash, time-varying mesh stiffness, and manufacturing error is established to study the dynamic response of the system. The equations of motion are derived by the Lagrangian method and solved by the numerical integration method. Taking the excitation frequency and tooth backlash as the variation parameters, respectively, the dynamic characteristics of the system are analyzed by comparing the global bifurcation diagrams between the health system and the fault system, and the path of the system into chaos is revealed. At the same time, the local characteristics of the system are revealed through the phase diagrams and Poincaré maps. The results show that with the variation of excitation frequency and tooth backlash, the fault system presents a more complex motion state. This study can provide the theoretical support for dynamic design and fault diagnosis of planetary gear transmission systems under the environment of gear fault-prone.

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“…Shi [31] considered factors such as contact temperature, time-varying meshing stiffness, meshing friction, and transmission error, and established a three-degreeof-freedom nonlinear model of the gear system to analyze the effect of tooth surface flash temperature rise. Pan [32] analyzed the influence of friction coefficient and normal load on the flash temperature, then established a ten degree-of-freedom coupled nonlinear dynamic model and analyzed the influence of flash temperature, random load, and fractal recoil on its dynamic characteristics. The simulation results show that the flash temperature of the tooth surface could significantly change the periodicity of the system movement.…”

Section: Introductionmentioning

confidence: 99%

Vibration Response Analysis of a Gear-rotor-bearing System Considering Steady-state Temperature

Sun

Chen

et al. 2021

Preprint

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As an important factor leading to the failure of gear system, the study of thermal effect is insufficiently deep. Based on the finite element nodal method, a more comprehensive dynamic model of gear-rotor-bearing system is established, which considers the thermal related material properties, time-varying meshing stiffness (TVMS), backlash and friction, gyroscopic effect. The constitutive relation of beam element considering steady-state temperature is reconstructed, and thermal node load is formulated. Considering the influence of temperature on the material properties of flexible shaft and gear, the thermal related TVMS and thermal backlash are obtained. The dynamic response of the system under different steady-state temperature fields is compared, and the influence of hot backlash is studied, then the thermal related vibration characteristics are obtained. Besides, the influence of bearing type on bearing force and axial trajectory is studied. The results show that the system motion changes from period to chaos with the temperature increase in part of the speed range. The appropriate backlash is helpful to restrain the chaotic motion caused by temperature rise. Moreover, the temperature can significantly increase the axial bearing force, and the appropriate bearing can reduce the axial displacement.

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Nonlinear response analysis of gear-shaft-bearing system considering tooth contact temperature and random excitations

Cited by 69 publications

References 27 publications

Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1

Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1

Dynamic Analysis of a Fault Planetary Gear System under Nonlinear Parameter Excitation

Vibration Response Analysis of a Gear-rotor-bearing System Considering Steady-state Temperature

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