Volume 43 Issue 3
Mar.  2024
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LI Yanke, QIU Ming, LI Junxing, NIU Kaicen, XU Yanlei. Reliability Evaluation and Design Method of Rolling Bearings Under Stress-strength Interference Model[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(3): 416-422. doi: 10.13433/j.cnki.1003-8728.20220219
Citation: LI Yanke, QIU Ming, LI Junxing, NIU Kaicen, XU Yanlei. Reliability Evaluation and Design Method of Rolling Bearings Under Stress-strength Interference Model[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(3): 416-422. doi: 10.13433/j.cnki.1003-8728.20220219

Reliability Evaluation and Design Method of Rolling Bearings Under Stress-strength Interference Model

doi: 10.13433/j.cnki.1003-8728.20220219
  • Received Date: 2021-12-15
  • Publish Date: 2024-03-25
  • Aiming at the low reliability and lack of design basis of rolling bearings, a reliability evaluation and design method of rolling bearings under stress-strength interference model was proposed. Considering the random characteristics of the actual equivalent dynamic load and the specified equivalent dynamic load, and assuming that the two random variables subject to lognormal distribution, the reliability evaluation and design model for rolling bearings was established. Secondly, the simulation verification is carried out for the deep groove ball bearings and angular contact ball bearings under multiple models and conditions. The results show that the reliability evaluation and design method of rolling bearing proposed in this paper can make the optimized bearing meet the target reliability life under this working condition by analyzing the allowable range of equivalent dynamic load and combining with the bearing design formula, and achieve the reliability evaluation and design of rolling bearing accurately and effectively.
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  • [1]
    张小丽, 陈雪峰, 李兵, 等. 机械重大装备寿命预测综述[J]. 机械工程学报, 2011, 47(11): 100-116. doi: 10.3901/JME.2011.11.100

    ZHANG X L, CHEN X F, LI B, et al. Review of life prediction for mechanical major equipments[J]. Journal of Mechanical Engineering, 2011, 47(11): 100-116. (in Chinese) doi: 10.3901/JME.2011.11.100
    [2]
    ZAIDI S S H, AVIYENTE S, SALMAN M, et al. Prognosis of gear failures in DC starter motors using hidden markov models[J]. IEEE Transactions on Industrial Electronics, 2011, 58(5): 1695-1706. doi: 10.1109/TIE.2010.2052540
    [3]
    房亚东, 陈桦. 现代设计方法与应用[M]. 北京: 机械工业出版社, 2013.

    FANG Y D, CHEN H. Modern design method and application[M]. Beijing: China Machine Press, 2013. (in Chinese)
    [4]
    唐继秋, 刘远国, 夏江, 等. 基于应力-强度干涉模型的高温工作裕度分析[J]. 电子产品可靠性与环境试验, 2020, 38(S1): 9-12.

    TANG J Q, LIU Y G, XIA J, et al. Analysis of high-temperature working margin based on stress-strength interference model[J]. Electronic Product Reliability and Environmental Testing, 2020, 38(S1): 9-12. (in Chinese)
    [5]
    伊枭剑, 董海平, 翟志强, 等. 基于应力-强度干涉模型的火工品可靠性设计方法[J]. 北京理工大学学报, 2014, 34(10): 1007-1011.

    YI X J, DONG H P, ZHAI Z Q, et al. Reliability design for initiating devices based on stress-strength interference model[J]. Transactions of Beijing Institute of Technology, 2014, 34(10): 1007-1011. (in Chinese)
    [6]
    ZHANG X, ZHANG Y Q, SUN Y, et al. Reliability model of TBM main bearing based on nonlinear strength degradation theory[J]. International Journal of Performability Engineering, 2018, 14(12): 3054-3065.
    [7]
    张义民. 机械动态与渐变可靠性理论与技术评述[J]. 机械工程学报, 2013, 49(20): 101-114. doi: 10.3901/JME.2013.20.101

    ZHANG Y M. Review of theory and technology of mechanical reliability for dynamic and gradual systems[J]. Journal of Mechanical Engineering, 2013, 49(20): 101-114. (in Chinese) doi: 10.3901/JME.2013.20.101
    [8]
    曹汝男, 孙志礼, 郭凡逸, 等. 基于Kriging和Monte Carlo的可靠性算法[J]. 东北大学学报(自然科学版), 2021, 42(5): 658-664.

    CAO R N, SUN Z L, GUO F Y, et al. Time-dependent reliability algorithm based on Kriging and Monte Carlo[J]. Journal of Northeastern University (Natural Science), 2021, 42(5): 658-664. (in Chinese)
    [9]
    高宁, 李华聪, 洪林雄, 等. 基于AK-IS法的航空齿轮泵滑动轴承可靠性分析[J]. 北京航空航天大学学报, 2022, 48(6): 1057-1064.

    GAO N, LI H C, HONG L X, et al. Reliability analysis of journal bearings inside aero-gear pump based on AK-IS method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(6): 1057-1064. (in Chinese)
    [10]
    WANG L, LIU J X, YANG C, et al. A novel interval dynamic reliability computation approach for the risk evaluation of vibration active control systems based on PID controllers[J]. Applied Mathematical Modelling, 2021, 92: 422-446. doi: 10.1016/j.apm.2020.11.007
    [11]
    ZHANG Y M, LIU Y Z. Modeling of the rotor-bearing system and dynamic reliability analysis of rotor's positioning precision[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2021, 235(3): 491-508.
    [12]
    刘国. 基于贝叶斯理论的双列圆锥滚子轴承可靠性分析[J]. 内燃机与配件, 2021(9): 43-44.

    LIU G. Reliability analysis of double-row tapered roller bearing based on Bayesian theory[J]. Internal Combustion Engine & Parts, 2021(9): 43-44. (in Chinese)
    [13]
    王瑞祥, 许凌天, 陈晓阳, 等. 小样本无失效寿命试验数据的轴承可靠性评估[J]. 航空动力学报, 2021, 36(11): 2400-2409.

    WANG R X, XU L T, CHEN X Y, et al. Reliability evaluation of bearings based on small samples and zero-failure life test data[J]. Journal of Aerospace Power, 2021, 36(11): 2400-2409. (in Chinese)
    [14]
    高攀东, 沈雪瑾, 陈晓阳, 等. 无失效数据下航空轴承的可靠性分析[J]. 航空动力学报, 2015, 30(8): 1980-1987.

    GAO P D, SHEN X J, CHEN X Y, et al. Reliability analysis for aircraft bearing with zero-failure data[J]. Journal of Aerospace Power, 2015, 30(8): 1980-1987. (in Chinese)
    [15]
    WANG F T, CHEN X T, DUN B S, et al. Rolling bearing reliability assessment via kernel principal component analysis and Weibull proportional hazard model[J]. Shock and Vibration, 2017, 2017: 6184190.
    [16]
    刘晓飞. 基于LSTM网络的滚动轴承可靠性评估及寿命预测[D]. 大连: 大连理工大学, 2019.

    LIU X F. The reliability assessment and remaining useful life prediction of rolling bearing based on the LSTM network[D]. Dalian: Dalian University of Technology, 2019. (in Chinese)
    [17]
    刘璐, 邱明, 李军星, 等. 基于LTSA融合降维法的滚动轴承可靠性评估方法[J]. 航空动力学报, 2021, 36(2): 413-420.

    LIU L, QIU M, LI J X, et al. Rolling bearing reliability evaluation method based on LTSA fusion dimensionality reduction method[J]. Journal of Aerospace Power, 2021, 36(2): 413-420. (in Chinese)
    [18]
    叶亮, 夏新涛, 常振. 滚动轴承振动性能保持可靠性与不确定性关系的动态评估[J]. 航空动力学报, 2020, 35(11): 2326-2338.

    YE L, XIA X T, CHANG Z. Dynamic evaluation of relationship between vibration performance maintaining reliability and uncertainty of rolling bearings[J]. Journal of Aerospace Power, 2020, 35(11): 2326-2338. (in Chinese)
    [19]
    许凌天, 沈雪瑾, 蒋爽, 等. 退化量有缺失的无失效小样本轴承可靠性评估[J]. 航空动力学报, 2020, 35(9): 1977-1987.

    XU L T, SHEN X J, JIANG S, et al. Reliability assessment of bearings with incomplete performance degradation data under small and non-failure samples[J]. Journal of Aerospace Power, 2020, 35(9): 1977-1987. (in Chinese)
    [20]
    陈潇贤. 基于广义柯西过程的滚动轴承可靠性分析[D]. 上海: 上海工程技术大学, 2020.

    CHEN X X. Reliability analysis of roller bearings based on generalized Cauchy process[D]. Shanghai: Shanghai University of Engineering Science, 2020. (in Chinese)
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