Determination of a Ball Bearing’s Strength at the Lower L10 Life Limit and Its 1, 2 and 3 Sigma Percentiles
Source abstract
Abstract
In this paper, based on the Hertzian contact analysis, we determine the minimum dynamic load of a ball bearing using a Weibull probabilistic approach. The lower L10 life limit was determined considering a confidence interval, the sample size that corresponds to the L10 life (90% reliability), and the standard deviation of the related Weibull scale parameter η. Then, we determine a functional relationship between the normal and the Weibull distributions to determine the corresponding 1σ , 2σ , and 3σ Six Sigma indices of the ball-bearing life. Finally, a standard method was established to determine the minimum dynamic load rating required for a ball bearing in such a way that it achieves 90% reliability at the lower bound of its L10 life. In the case study, the SKF 6009 ball bearing was initially selected, with a dynamic load rating of 22.1 kN, exhibiting a lower bound reliability of 0.86 under a nominal Weibull scale parameter of strength of 910 MPa. After applying the proposed analysis, it was replaced with the SKF 71909 ball bearing, which provides a nominal Weibull scale parameter strength of 1174.54 MPa, which ensures 90% reliability at the lower bound of its L10 life. Its reliability indices at the 1σ , 2σ , and 3σ Six Sigma levels were Rt=0.9174 , Rt=0.8880 , and Rt=0.8534, respectively.
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Research context
OpenAlex topics: Gear and Bearing Dynamics Analysis · Statistical Distribution Estimation and Applications · Reliability and Maintenance Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Engineering and Sciences, Tecnologico de Monterrey, Ciudad Juarez Campus, Ciudad Juarez 32470, Chihuahua, Mexico
Engineering and Technological Institute, Universidad Autonoma de Ciudad Juarez, Ciudad Juarez 32540, Chihuahua, Mexico
References (35)
Show source-provided references
1. Harris, T.A., and Kotzalas, M.N. (2007). Rolling Bearing Analysis, CRC Press. [5th ed.].10.1201/9781482275148 ↗
2. Vibration Analysis of Rolling Element Bearings Defects10.1016/S1665-6423(14)71620-7 ↗
3. Xu, M., Feng, G., He, Q., Gu, F., and Ball, A. (2020). Vibration characteristics of rolling element bearings with different radial clearances for condition monitoring of wind turbine. Appl. Sci., 10.10.3390/app10144731 ↗
4. Ma, L., Liu, J., Guo, F., Li, X., and Zhang, X. (2023). Research on Rolling Contact Fatigue Failure of the Bearing Used in High-Speed Electric Multiple Units’ Axle Box Based on a Damage-Coupled Elastic–Plastic Constitutive Model. Lubricants, 11.10.3390/lubricants11080330 ↗
5. Behnke, K., and Menck, O. (2025). Rolling contact fatigue tests on pre-damaged slewing bearings. Proc. Inst. Mech. Eng. Part J J. Eng. Tribol.10.1177/13506501251385051 ↗
6. The effect of material defect orientation on rolling contact fatigue of a ball bearing10.1038/s41598-023-42677-y ↗
7. Plastic deformation-based rolling bearing reliability and sensitivity analysis under incomplete probability information10.1177/16878132221142968 ↗
8. Fatigue Life Prediction of Rolling Bearings Based on Modified SWT Mean Stress Correction10.1186/s10033-021-00625-9 ↗
9. Reliability analysis of rolling bearings considering internal clearance10.1007/s12206-020-2206-9 ↗
10. (2007). Rolling Bearings—Dynamic Load Ratings and Rating Life (Standard No. ISO 281:2007).
11. Shiyuan, E., Wang, Y., Xie, B., and Lu, F. (2023). A Reliability-Based Robust Design Optimization Method for Rolling Bearing Fatigue under Cyclic Load Spectrum. Mathematics, 11.10.3390/math11132843 ↗
12. Zaretsky, E.V. (2025, December 28). Rolling Bearing Life Prediction, Theory, and Application, Available online: http://www.sti.nasa.gov.
13. High-speed rolling bearing lubrication reliability analysis based on probability box model10.1016/j.probengmech.2024.103612 ↗
14. Barraza-Contreras, J.M., Piña-Monarrez, M.R., and Molina, A. (2020). Fatigue-life prediction of mechanical element by using the Weibull distribution. Appl. Sci., 10.10.3390/app10186384 ↗
15. Barraza-Contreras, J.M., Piña-Monarrez, M.R., and Torres-Villaseñor, R.C. (2023). Reliability by Using Weibull Distribution Based on Vibration Fatigue Damage. Appl. Sci., 13.10.3390/app131810291 ↗
16. Study on Rolling Bearing Life Based on Weibull Distribution and Correlation Coefficient Optimization and Maximum Likelihood Estimation10.1088/1742-6596/2383/1/012124 ↗
17. Parameters and reliability estimation for the weibull distribution based on intuitionistic fuzzy lifetime data10.1007/s40747-022-00720-x ↗
18. Reliability analysis for Weibull distribution with homogeneous heavily censored data based on Bayesian and least-squares methods10.1016/j.apm.2020.02.013 ↗
19. Estimation of Weibull parameters from common percentiles10.1080/0266476042000305122 ↗
20. Robust estimation of the three parameter Weibull distribution for addressing outliers in reliability analysis10.1038/s41598-025-96043-1 ↗
21. Roy Fatigue life assessment of dissimilar thickness resistance spot welded C-Mn steel using Weibull distribution10.1080/09507116.2022.2039574 ↗
22. Fatigue life evaluation model for high-strength steel wire considering different levels of corrosion10.1080/15732479.2021.1951773 ↗
23. Villa, C.B. (2025, December 14). Metodología de Confiabilidad Weibull para el Diseño de Rodamientos de Bola en Base a Esfuerzos deHertz. Available online: https://erecursos.uacj.mx/items/29715420-d474-4441-a9f9-018116ec41ab.
24. Budynas, R.G., and Nisbett, J.K. (2015). Shigley’s Mechanical Engineering Design, McGraw-Hill Education. [10th ed.].
25. SKF Group (2018). Rolling Bearings. PUB BU/P1 17000/1 EN, SKF. Available online: https://cdn.skfmediahub.skf.com/api/public/0901d196802809de/pdf_preview_medium/0901d196802809de_pdf_preview_medium.pdf.
26. Johnson, K.L. (1985). Contact Mechanics, Cambridge University Press.10.1017/CBO9781139171731 ↗
27. Popov, V.L. (2010). Contact Mechanics and Friction: Physical Principles and Applications, Springer.10.1007/978-3-642-10803-7 ↗
28. Bower, A.F. (2010). Applied Mechanics of Solids, CRC Press.10.1201/9781439802489 ↗
29. Micropitting modelling in rolling–sliding contacts: Application to rolling bearings10.1080/10402004.2011.587633 ↗
30. Nelson, W. (2004). Applied Life Data Analysis, Wiley.
31. Weibull, W. (1939). A Statistical Theory of the Strength of Materials, Generalstabens Litografiska Anstalts Förlag.
32. ReliaSoft Corporation (2000). Life Data Analysis Reference, ReliaSoft Corporation.
33. Schmid, S.R., Hamrock, B.J., Schmid, B.O.J., and Jacobson, H. (2014). Fundamentals of Machine Elements SI Version, CRC Press. [3rd ed.].10.1201/b17120 ↗
34. Villa-Covarrubias, B., Piña-Monarrez, M.R., Barraza-Contreras, J.M., and Baro-Tijerina, M. (2020). Stress-based weibull method to select a ball bearing and determine its actual reliability. Appl. Sci., 10.10.3390/app10228100 ↗
35. Weibull stress distribution for static mechanical stress and its stress/strength analysis10.1002/qre.2251 ↗