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基于遗传算法优化的人工神经网络下高速滚动轴承的疲劳可靠性

金燕 刘少军 张建阁

金燕, 刘少军, 张建阁. 基于遗传算法优化的人工神经网络下高速滚动轴承的疲劳可靠性[J]. 航空动力学报, 2018, 33(11): 2748-2755. doi: 10.13224/j.cnki.jasp.2018.11.021
引用本文: 金燕, 刘少军, 张建阁. 基于遗传算法优化的人工神经网络下高速滚动轴承的疲劳可靠性[J]. 航空动力学报, 2018, 33(11): 2748-2755. doi: 10.13224/j.cnki.jasp.2018.11.021
Fatigue reliability of high speed bearing based on genetic algorithm optimized artificial neural network[J]. Journal of Aerospace Power, 2018, 33(11): 2748-2755. doi: 10.13224/j.cnki.jasp.2018.11.021
Citation: Fatigue reliability of high speed bearing based on genetic algorithm optimized artificial neural network[J]. Journal of Aerospace Power, 2018, 33(11): 2748-2755. doi: 10.13224/j.cnki.jasp.2018.11.021

基于遗传算法优化的人工神经网络下高速滚动轴承的疲劳可靠性

doi: 10.13224/j.cnki.jasp.2018.11.021
基金项目: 中航工业部总装预研项目(8130208)

Fatigue reliability of high speed bearing based on genetic algorithm optimized artificial neural network

  • 摘要: 考虑到高速滚动轴承中热弹流润滑效应的影响,提出一种人工智能方法进行航空轴承疲劳可靠性分析。通过带交叉项的二次多项式近似拟合温度场效应,并将热应力映射到滚动轴承赫兹接触区内,完成热弹流润滑效应下航空轴承接触应力分析模型的建立,同时考虑热弹流润滑效应、材料属性以及疲劳强度修正系数的随机性,运用人工神经网络法完成热弹流润滑效应下航空滚动轴承疲劳可靠性分析。采用遗传算法完成最小可靠性指标寻优和惩罚函数最佳设计点。基于改进的一次二阶矩法完成可靠性灵敏度分析。数值算例表明,所建立的可靠性分析模型能正确反映热弹流润滑效应对航空轴承接触疲劳的影响。与传统的Monte Carlo法相比,两种计算结果的失效概率之差为2.0×10-4,相对误差为23.8%,而所提方法耗时只有蒙特卡洛方法的0.15%,具有良好的全局搜索能力和高效的计算性能。

     

  • [1] 陈果,郝腾飞,程小勇,等.基于机匣测点信号的航空发动机滚动轴承故障诊断灵敏性分析[J].航空动力学报,2014,29(12):2874-2884.CHEN Guo,HAO Tengfei,CHENG Xiaoyong,et al.Sensitivity analysis of fault diagnosis of aero-engine rolling bearing based on vibration signal measured on casing[J].Journal of Aerospace Power,2014,29(12):2874-2884.(in Chinese)
    [2] LI Hongkun,ZHANG Zhixin,LI Xiugang,et al.Reliability prediction method based on state space model for rolling element bearing[J].Journal of Shanghai Jiaotong University (Science),2015,20(3):317-321.
    [3] GAO Xuehai,HUANG Xiaodiao,HONG Rongjing,et al.A rolling contact fatigue reliability evaluation method and its application to a slewing bearing[J].Journal of Tribology,2012,134(1):011101.1-011101.7.
    [4] CHARKI A,DIOP K,CHAMPMARTIN S,et al.Reliability of a hydrostatic bearing[J].Journal of Tribology,2014,136(1):11-18.
    [5] DAWSON P H.Effect of metallic contact on the pitting of lubricated rolling surface[J].Journal of Mechanical Engineering Science,1962,7(1):147-155.
    [6] BHATTACHARYYA S,BOCK F C,HOWES M A H,et al.Chemical effects of lubrication in contact fatigue:Part Ⅱ the statistical analysis,summary,and conclusions[J].Journal of Lubricant Technology,1976,98(2):299-307.
    [7] TOWNSEND D P,SHIMSKI J.Evaluation of the EHL film thickness and extreme pressure additives on gear surface fatigue life[R].NASA-TM-106663,1994.
    [8] 胡贇,刘少军,廖雅诗,等.基于蒙特卡洛模拟方法的疲劳强度概率分布推断[J].华南理工大学学报(自然科学版),2014,42(9):35-40.HU Yun,LIU Shaojun,LIAO Yashi,et al.Fatigue strength probability distribution inference based on Monte Carlo simulation method[J].Journal of South China University of Technology (Natural Science Edition),2014,42(9):35-40.(in Chinese)
    [9] SCIUVA M D,LOMARIO D.A comparison between Monte Carlo and FORMs in calculating the reliability of a composite structure[J].Composite Structure,2003,59(1):155-162.
    [10] 苏成,李鹏飞,韩大建.结构可靠度计算的Neumann展开响应面法[J].华南理工大学学报(自然科学版),2009,37(9):13-17,23.SU Cheng,LI Pengfei,HAN Dajian.Neumann-expansion response surface method for calculating structure reliability[J].Journal of South China University of Technology (Natural Science Edition),2009,37(9):13-17,23.(in Chinese)
    [11] 曹宇春,刘富玲.基于综合变异系数的地基承载力可靠性分析[J].岩土力学 2014,35(7):1950-1956.CAO Yuchun,LIU Fuling.Reliability analysis of foundation bearing capacity based on combined coefficients of variation[J].Rock and Soil Mechanics,2014,35(7):1950-1956.(in Chinese)
    [12] CHENG Jin.An artificial neural network based genetic algorithm forestimating the reliability of long span suspension bridges[J].Finite Element in Analysis and Design,2010,46(8):658-667.
    [13] GUI Jinsong,LIU Hong,KANG Haigui.An intelligent method forstructure reliability analysis based on response surface[J].China Ocean Engineering,2004,18(4):653-661.
    [14] 胡贇,刘少军,丁晟.弹流润滑效应下直齿轮的接触疲劳寿命[J].中南大学学报(自然科学版),2014,45(12):4187-4193.HU Yun,LIU Shaojun,DING Sheng.Contact fatigue life on spur gear with consideration of elastohydrodynamic[J].Journal of Central South University (Science and Technology),2014,45(12):4187-4193.(in Chinese)
    [15] 黄平.弹性流体动压润滑数值计算方法[M].北京:清华大学出版社,2013:63-75.
    [16] 黄平,雒建斌,温诗铸.一 种数值求解弹流润滑膜厚和压力的新方法[J].润滑与密封,1998(6):10-14.HUANG Ping,LUO Jianbin,WEN Shizhu.A new numerical approach for calculating EHL film thickness and pressure[J].Lubrication Engineering,1998(6):10-14.(in Chinese)
    [17] HARIPRASAD B,BHATTACHARJEE P,VENUGOPAL A.Prediction of vehicle reliability using ANN[J].International Journal of Performability Engineering,2012,8(3):321-329.
    [18] 罗明,左志涛,李弘扬,等.基于BP人工神经网络的离心压气机叶轮多目标优化设计方法[J].航空动力学报,2016,31(10):2424-2431.LUO Ming,ZUO Zhitao,LI Hongyang,et al.Multi-objective optimization design of centrifugal compressor impeller based on BP artificial neural network[J].Journal of Aerospace Power,2016,31(10):2424-2431.(in Chinese)
    [19] 孙志礼,陈良玉.实用机械可靠性设计理论与方法[M].北京:科学出版社,2003:55-60.
    [20] 温诗铸,杨沛然.弹性流体动力润滑[M].北京:清华大学出版社,1992:34-42.
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出版历程
  • 收稿日期:  2017-03-01
  • 刊出日期:  2018-11-28

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