Fault Dynamic Modeling and Characteristic Parameter Simulation of Rolling Bearing with Inner Ring Local Defects

Zhang, Fengling; Zhang, Yuwei; Guan, Jian; Jun, Tian; Wang, Yingjie

doi:10.1155/2021/5077366

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…In the last two decades, many researchers [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] developed NDMMs for bearing systems that involve singlerow DGBBs having an individual localized defect or compound defects on one of the bearings. These ball bearing systems are modeled by using 2-DOF models and by assuming that the rotating bearing elements have only two-directional (planar) motions.…”

Section: Introductionmentioning

confidence: 99%

“…Qin et al 29 studied the effects of ORD size and shaft speed on bearing vibration using a 2-DOF model. They used rectangular, half-sine wave and piecewise functions for modeling the ORD functions of the DGBB similar to Liu et al 16 Fengling et al 30 modeled the SKF 6205 DGBB and studied the effects of a localized IRD and its length on bearing vibrations. They have also studied the effects of changes in speed, radial load, and defect length on various time-domain statistical parameters.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of non-linear vibration of outer race defective ball bearing using two defect functions

Jain,

Bhosle,

Keche

et al. 2024

Noise & Vibration Worldwide

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The aim of this article is to study the effects of evolution in defect size on vibration of a ball bearing by simulation of a ball bearing by developing a 2-DOF mathematical model and to compare the vibration responses of defective bearings obtained for two widely used defect functions, viz., rectangular function and half-sine wave function. MATLAB codes are developed to prepare a mathematical model of a ball bearing and to solve the differential equations of the model using the Runge-Kutta method. In the model, the mass supported by the bearing is considered as a lumped mass, and the contact between the races and the balls is considered as a series of springs, whose spring stiffness is obtained by using Hertz’s contact deformation theory. This model considers the contact deformation between the balls and the races and the additional displacement between the balls and the inner race due to radial clearance and defect geometry. The maximum possible radial displacement of the ball into the defect is obtained analytically and graphically from the race-ball-defect geometry. First, the impulses generated due to an outer race defect in the ball bearing are modeled using two different defect functions separately and their vibration responses are compared. Secondly, the effects of increase in defect length on vibration of the bearing are simulated separately for two defect functions, and then their responses are compared and analyzed. The results show that when the defect is modeled with a rectangular defect function, the vibration responses obtained are greater than when the defect is modeled with a half-sine wave defect function. And, vibration responses increase rapidly up to a certain level of defect length and then decrease with a further increase in defect length. The vibration analysis performed for different defect lengths can provide good support to vibration analysts and researchers.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of non-linear vibration of outer race defective ball bearing using two defect functions

Jain,

Bhosle,

Keche

et al. 2024

Noise & Vibration Worldwide

View full text Add to dashboard Cite

show abstract

A Study of the Effect of Starved Lubrication on the Dynamic Characteristics of Locally Failed Rolling Bearings

Huo,

Chen,

Hao

et al. 2024

Tribology Transactions

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RETRACTED: Research on inter-shaft bearing fault diagnosis method based on STFT-CNN modeling

Tian,

Zhao,

Lin

et al. 2024

IFS

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Inter-shaft bearings are an essential component of aircraft engines, and their operational status determines the safety of aircraft engine operation. Therefore, to improve the accuracy of fault type prediction and enrich the feature information in vibration signals of aircraft engine inter-shaft bearings, this paper proposes an STFT-CNN model based on the AlexNet architecture, extending its application to the research of aircraft engine inter-shaft bearing fault diagnosis. This approach addresses the common reliance on personnel experience for fault type diagnosis in traditional aircraft engine inter-shaft bearing fault diagnosis. Firstly, real vibration fault signals from inter-shaft bearings are collected through experiments to enrich feature information in non-stationary signals using STFT time-frequency methods. Secondly, utilizing the high interpretability of the STFT-CNN model, fault feature data from inter-shaft bearings under various operating conditions are extracted to refine our understanding of fault feature information. Finally, leveraging the robustness of the STFT-CNN model, fault types are classified and predicted. The training process involves comparative analysis using different pooling algorithms, time-frequency analysis methods, and various deep learning network models. The results demonstrate that the STFT-CNN model, employing the maximum pooling algorithm, outperforms other models in predicting inter-shaft bearing faults, achieving an average fault prediction accuracy of 98.8% .

show abstract

Fault Dynamic Modeling and Characteristic Parameter Simulation of Rolling Bearing with Inner Ring Local Defects

Cited by 3 publications

References 16 publications

Comparison of non-linear vibration of outer race defective ball bearing using two defect functions

Comparison of non-linear vibration of outer race defective ball bearing using two defect functions

A Study of the Effect of Starved Lubrication on the Dynamic Characteristics of Locally Failed Rolling Bearings

RETRACTED: Research on inter-shaft bearing fault diagnosis method based on STFT-CNN modeling

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