Ling et al 2023a - Revision history

Jingxiu: Added a new fund sponsorship project.

2023-04-25T08:42:34Z

Added a new fund sponsorship project.

Rimni at 08:05, 18 April 2023

2023-04-18T08:05:01Z

Rimni at 08:03, 18 April 2023

2023-04-18T08:03:51Z

Rimni at 08:03, 18 April 2023

2023-04-18T08:03:15Z

Rimni at 08:02, 18 April 2023

2023-04-18T08:02:30Z

Rimni at 08:02, 18 April 2023

2023-04-18T08:02:00Z

Rimni at 07:42, 18 April 2023

2023-04-18T07:42:40Z

Rimni at 14:16, 17 April 2023

2023-04-17T14:16:57Z

Rimni: /* 4.3 Material life distribution of bearing steel under arbitrary stress */

2023-04-17T14:15:59Z

‎4.3 Material life distribution of bearing steel under arbitrary stress

Rimni: /* 6. Conclusions */

2023-04-17T14:11:03Z

‎6. Conclusions

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 ==Acknowledgements==
-This work was supported by the Natural Science Foundation of Fujian Province (Grant No.2020J01871), and the China Postdoctoral Science Foundation (Granted No.2020M671956).
+This work was supported by the Natural Science Foundation of Fujian Province (Grant No.2020J01871), the China Postdoctoral Science Foundation (Granted No.2020M671956) and Fujian Province Foreign Cooperation Industrialization Project (Grant No.2021I1006).
 ===Conflict of Interests===
-Conflict of interests The authors declare that they have no known competing financial interests or personal relationships.
+Conflict of interests the authors declare that they have no known competing financial interests or personal relationships.
 ==References==

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-{| class="wikitable" style="margin: 1em auto 0.1em auto;border-collapse: collapse;width:auto;"
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+|style="text-align: center;padding:10px;"| [[File:Ling_et_al_2023a_3475_600px-Draft_Ling_717181314-image1-c.png|700px]]
 |-
 | style="background:#efefef;text-align:left;padding:10px;font-size: 85%;"| '''Figure 1'''. Flow chart for calculating the fatigue reliability of a tyre unloader bearing

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-|style="text-align: center;padding:10px;"| [[File:Ling_et_al_2023a_3475_600px-Draft_Ling_717181314-image1-c.png|500px]]
+|style="text-align: center;padding:10px;"| [[File:Ling_et_al_2023a_3475_600px-Draft_Ling_717181314-image1-c.png|600px]]
 |-
 | style="background:#efefef;text-align:left;padding:10px;font-size: 85%;"| '''Figure 1'''. Flow chart for calculating the fatigue reliability of a tyre unloader bearing

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 [5] Li R.X., Zhou J.Y., Sun K.Z., et al. Fatigue reliability analysis of rolling bearing systems under random loading (in Chinese). Hydromechatronics Engineering, 40(01):157-160, 2012.
-[6] Jin Y., Liu S.J., Zhang J.G. Fatigue reliability of high-speed rolling bearings under artificial neural network based on genetic algorithm optimization (in Chinese). Journal of Aerospace Power, 2018(11):2748-2755, 2018. [https://doi.org/10.13224/j.cnki.jasp.2018.11.021 https://doi.org/10.13224/j.cnki.jasp.2018.11.021]
+[6] Jin Y., Liu S.J., Zhang J.G. Fatigue reliability of high speed bearing based on genetic algorithm optimized artificial neural network (in Chinese). Journal of Aerospace Power, 2018(11):2748-2755, 2018. [https://doi.org/10.13224/j.cnki.jasp.2018.11.021 https://doi.org/10.13224/j.cnki.jasp.2018.11.021]
-[7] Qi M.Y., Liao A.H. Design of a MATLAB App Designer based rolling bearing reliability assessment system for traction motors (in Chinese). Electronics Technology, (03):79-86, 2022. [https://doi.org/10.16180/j.cnki.issn1007-7820.2022.03.012 https://doi.org/10.16180/j.cnki.issn1007-7820.2022.03.012]
+[7] Qi M.Y., Liao A.H. Design of reliability evaluation system of traction motor rolling bearing based on MATLAB app designer (in Chinese). Electronics Technology, (03):79-86, 2022. [https://doi.org/10.16180/j.cnki.issn1007-7820.2022.03.012 https://doi.org/10.16180/j.cnki.issn1007-7820.2022.03.012]
 [8] Reuben L.C.K., Corsar M., Mba D. Bearing replacement extension without failure data. Int. J. of Risk Assessment and Management, 18(1):38-51, 2015.  [https://doi.org/10.1504/IJRAM.2015.068139 https://doi.org/10.1504/IJRAM.2015.068139]
@@ Line 1,034: / Line 1,034: @@
 [10] Wang H.B. Ship unloader rolling bearing life prediction and maintenance management platform development (in Chinese). Jilin University, 2011.
-[11] Xia X.T., Ye L. et al. Prediction of rolling bearing performance retention reliability (in Chinese). Bearings,(06):28-34, 2016. [https://doi.org/10.19533/j.issn1000-3762.2016.06.008 https://doi.org/10.19533/j.issn1000-3762.2016.06.008]
+[11] Xia X.T., Ye L. et al. Performance continuity reliability prediction of rolling bearings (in Chinese). Bearings,(06):28-34, 2016. [https://doi.org/10.19533/j.issn1000-3762.2016.06.008 https://doi.org/10.19533/j.issn1000-3762.2016.06.008]
 [12] Zhang X., Zhang Y.Q., Sun Y., Wena B.,  Jiang L. Reliability model of TBM main bearing based on nonlinear strength degradation theory. International Journal of Performability Engineering, 14(12):3054-3065, 2018. [https://doi.org/10.23940/ijpe.18.12.p15.30543065 https://doi.org/10.23940/ijpe.18.12.p15.30543065]

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 where <math display="inline">{\sigma }_{a}</math> corresponds to the stress tested in the material, <math display="inline">{S}_{a}</math> corresponds to zero component stress,
-<math display="inline">\epsilon</math>  is the dimensional coefficient of the material, the value of 0.856 was taken by consulting the "Mechanical Design Manual", <math display="inline">\beta</math> is the material surface quality factor, here taken as 1, and
+<math display="inline">\epsilon</math>  is the dimensional coefficient of the material, the value of 0.856 was taken by consulting the «Mechanical Design Manual», <math display="inline">\beta</math> is the material surface quality factor, here taken as 1, and
 <math display="inline">{C}_{L}</math> is the loading method for the workpiece and the steel tension is taken as 0.85.