Volume 35 Issue 11
Nov.  2020
Turn off MathJax
Article Contents
YE Liang, XIA Xintao, CHANG Zhen. maintaining reliability and uncertainty of rolling bearings[J]. Journal of Aerospace Power, 2020, 35(11): 2326-2338. doi: 10.13224/j.cnki.jasp.2020.11.009
Citation: YE Liang, XIA Xintao, CHANG Zhen. maintaining reliability and uncertainty of rolling bearings[J]. Journal of Aerospace Power, 2020, 35(11): 2326-2338. doi: 10.13224/j.cnki.jasp.2020.11.009

maintaining reliability and uncertainty of rolling bearings

doi: 10.13224/j.cnki.jasp.2020.11.009
  • Received Date: 2020-07-13
  • Publish Date: 2020-11-28
  • Three indicators, ie, the fluctuation range of instantaneous vibration value, fluctuation range of average vibration value and the average fluctuation range during the corresponding period of vibration sequence, were used to characterize the uncertainty of vibration performance of bearing in service comprehensively, so as to quantitatively analyze the internal specific relationship between the three uncertainty indexes and vibration performance maintaining reliability. The maximum entropy method and Poisson process theory were used to calculate the vibration performance maintaining reliability of bearings. The values of three uncertainty indexes were calculated in turn based on the grey bootstrap method, bootstrap method and maximum entropy method, and classical statistical method. A multivariate regression analysis model was established to analyze the expression of the relationship between the performance maintaining reliability and the three uncertainty indexes. Results showed that the linear correlation coefficients between performance maintenance reliability and the three uncertainties were -0843 7,-0779 8,-0759 7;-0835 4,-0843 9,-0808 2 for case 1 and case 2,respectively. Both cases show that the fluctuation range of instantaneous value and average fluctuation range have nonlinear influence on performance maintenance reliability.

     

  • loading
  • [1]
    徐永智,夏新涛,南翔.基于混沌理论滚动轴承振动稳健化试验数据的动态分析[J].航空动力学报,2015,30(8):1959-1965. XU Yongzhi,XIA Xintao,NAN Xiang.Dynamic analysis of the robust test data on rolling bearing vibration based on chaos theory[J].Journal of Aerospace Power,2015,30(8):1959-1965.(in Chinese)
    [2]
    CHENG L,XIA X T,YE L.Chaotic prediction of vibration performance degradation trend of rolling element bearing based on Weibull distribution[J].Science Progress,2019,103(1):1-22.
    [3]
    YE L,XIA X T,CHANG Z.Dynamic prediction of the performance reliability of high-speed railway bearings[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering,2019,41(11):1-12.
    [4]
    孟凡念,杜文辽,李浩.基于混沌理论的滚动轴承振动信号融合模型预测[J].航空动力学报,2020,35(8):1664-1675. MENG fannian,DU Wenliao,LI Hao.Fusion model prediction of rolling bearing vibration signal based on chaos theory[J].Journal of Aerospace Power,2020,35(8):1664-1675.(in Chinese)
    [5]
    叶亮,夏新涛,常振.样本量对滚动轴承振动性能变异过程评估的影响[J].航空动力学报,2019,34(11):2490-2502. YE Liang,XIA Xintao,CHANG Zhen.Effect of sample size on evaluation of variation process of rolling bearing vibration performance[J].Journal of Aerospace Power,2019,34(11):2490-2502.(in Chinese)
    [6]
    XIA X T,MENG F N.Grey relational analysis of measure for uncertainty of rolling bearing friction torque as time series[J].Journal of Grey System,2011,23(2):135-144.
    [7]
    CAVALINI A A,Jr,DOURADO A G S,LARA-MOLINA F A,et al.Uncertainty analysis of a tilting-pad journal bearing using fuzzy logic techniques[J].Journal of Vibration and Acoustics,2016,138(6):061016.1-061016.10.
    [8]
    XIA X T,WANG Z Y.Grey relation between nonlinear characteristic and dynamic uncertainty of rolling bearing friction torque[J].Chinese Journal of Mechanical Engineering,2009,22(2):244-249.
    [9]
    PATTABHIRAMAN S,LEVESQUE G,KIM N H,et al.Uncertainty analysis for rolling contact fatigue failure probability of silicon nitride ball bearings[J].International Journal of Solids and Structures,2010,47(18/19):2543-2553.
    [10]
    KIM H,LEE S H,PARK J S,et al.Reliability data update using condition monitoring and prognostics in probabilistic safety assessment[J].Nuclear Engineering and Technology,2015,47(2):204-211.
    [11]
    AN D,KIM N H,CHOI J H.Practical options for selecting data-driven or physics-based prognostics algorithms with reviews[J].Reliability Engineering and System Safety,2015,133:223-236.
    [12]
    LIU K,GEBRAEEL N Z,SHI J.A data-level fusion model for developing composite health indices for degradation modeling and prognostic analysis[J].IEEE Transactions on Automation Science and Engineering,2013,10(3):652-664.
    [13]
    XIA X T,CHEN L,MENG F N.Uncertainty of rolling bearing friction torque as data series using grey bootstrap method[J].Applied Mechanics and Materials,2010,44/45/46/47:1125-1129.
    [14]
    KAUSCHINGER B,SCHROEDER S.Uncertainties in heat loss models of rolling bearings of machine tools[J].Procedia CIRP (Collège International pour la Recherche en Productique),2016,46:107-110.
    [15]
    孙强,岳继光.基于不确定性的故障预测方法综述[J].控制与决策,2014,29(5):769-778. SUN Qiang,YUE Jiguang.Review on fault prognostic methods based on uncertainty[J].Control and Decision,2014,29(5):769-778.(in Chinese)
    [16]
    常振,夏新涛,李云飞,等.滚动轴承性能不确定性与可靠性评估[J].中国机械工程,2017,28(18):2209-2216,2223. CHANG Zhen,XIA Xintao,LI Yunfei,et al.Evaluation of rolling bearing performance uncertainty and reliability[J].China Mechanical Engineering,2017,28(18):2209-2216,2223.(in Chinese)
    [17]
    CHEN Y S,YANG J L,XU Y H,et al.Status self-validation of sensor arrays using gray forecasting model and bootstrap method[J].IEEE Transactions on Instrumentation and Measurement,2016,65(7):1626-1640.
    [18]
    XIA X T,CHEN X Y,ZHANG Y Z,et al.Grey bootstrap method of evaluation of uncertainty in dynamic measurement[J].Measurement,2008,41(6):687-696.
    [19]
    LEMYRE F C,QUESSY J F.Multiplier bootstrap methods for conditional distributions[J].Statistics and Computing,2017,27(3):805-821.
    [20]
    CHEN X W,DAI W.Maximum entropy principle for uncertain variables[J].International Journal of Fuzzy Systems,2011,13(3):232-236.
    [21]
    刘斌.基于乏信息的滚子轴承质量控制方法研究[D].河南 洛阳:河南科技大学,2018.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (433) PDF downloads(233) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return