Research on the fan bearing reliability of the weibull distribution

Fu, Yuzhuo; Wu, Zhenhuan; Wang, Lixin; Yang, Guoan

doi:10.1109/itnec.2016.7560437

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…For the free contact angle a 0 and radial clearance p d of the ball bearing, cos a 0 = 1 À p d 2A and P d = d e + d i À 2D w , where d i and d e are the bearing inside and outside diameters, respectively. Substitution of equation (3) into equation (2) gives where the loci of the centers of the inner and outer raceway groove curvature radii R i and R e , respectively, are…”

Section: Mechanical Model Of Rolling Bearingsmentioning

confidence: 99%

“…For example, in the engineering design of rolling bearings, improving the strength properties of the material can effectively reduce the occurrence of plastic deformation and increase the corresponding reliability; with an increase in inner raceway groove curvature radius r i and outer raceway groove curvature radius r e , the degree of coincidence of the bearing decreases and the corresponding reliability of the bearing based on plastic deformation also decreases. (2) The analysis results of the reliability sensitivity to standard deviations are shown in Figure 6(b). It can be seen from standard deviation reliability sensitivity ∂R FM =∂s X that the reliability of the rolling bearing decreases, that is, the bearing tends to fail, as the standard deviations of the seven parameters increase.…”

Section: Reliability Sensitivity Analysismentioning

confidence: 99%

“…Weibull 1 was the first to speculate that the probability of fatigue strength failure at any point on the S–N curve is equal to the probability of fatigue life failure and described two methods for determining the fatigue strength probability distribution. Yudong et al 2 solved the three parameters of the Weibull distribution using the correlation coefficient optimization method and established a model of bearing life reliability based on the Weibull distribution. Yoon and Choi 3 analyzed the effect of geometric randomness on the reliability of air-bearing structures using the mean-value first-order second-moment method and carried out reliability-based design optimization.…”

Section: Introductionmentioning

confidence: 99%

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Plastic deformation-based rolling bearing reliability and sensitivity analysis under incomplete probability information

Wang

Zhang

2022

Advances in Mechanical Engineering

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It is currently difficult to adequately characterize the probability distribution information of rolling bearings, and research on the reliability of rolling bearings based on plastic deformation is lacking. To address this problem, the Latin hypercube design, BP neural networks, and higher-order moment method are combined, fully considering the randomness of the load, geometry, and material parameters of the rolling bearing. The dynamics model of the rolling bearing was constructed by using the Hertz contact theory and Jones model, combined with a Latin hypercube design to obtain neural network training samples. Based on the rational construction of the neural network structure, the mapping relationship between the equivalent stress and the design variables is obtained. The state function of the rolling bearing is constructed according to the stress–strength interference model, and then, the reliability index and reliability of the rolling bearing are obtained using the higher-order moment method, followed by a reliability sensitivity analysis. Finally, the proposed method is applied to the reliability analysis of a certain type of angular contact ball bearing, and the calculation results are compared with the Monte Carlo method results to demonstrate the correctness and effectiveness of the proposed method.

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Section: Mechanical Model Of Rolling Bearingsmentioning

confidence: 99%

Section: Reliability Sensitivity Analysismentioning

confidence: 99%