滚动轴承振动的灰自助动态评估与诊断
Dynamic assessment and diagnosis of vibration of rolling bearings using grey bootstrap
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摘要: 以灰预报和自助再抽样方法为基础, 提出灰自助动态评估与诊断模型, 以评估和改进滚动轴承的振动.该模型用动态不确定度、估计区间、估计真值、平均不确定度、平均真值和系统误差测度等6个参数, 描述滚动轴承振动的基本特征.对HKRB轴承的试验表明, 该模型对随机误差的概率分布与系统误差的类型没有任何要求, 在平均不确定度为最小的条件下分离出系统误差.评估的可信度达到100%.根据灰自助动态评估结果, 还诊断出影响轴承振动的误差特征, 揭示了来自轴承零件制造的误差根源, 为实施滚动轴承振动的生产过程控制奠定了基础.Abstract: Based on grey prediction and bootstrap resampling,a model of dynamic assessment and diagnosis is proposed to evaluate and improve vibration of rolling bearings.The model characterizes vibration of rolling bearings by developing six parameters,viz.dynamic uncertainty,estimated interval,estimated true value,mean uncertainty,mean true value,and systematic error measure.Experiments on HKRB bearing show that the model can separate systematic errors with a minimum of the mean uncertainty,without any requirements for both the probability distribution of random errors and the type of systematic errors.Reliability of assessment is proved to be 100%.The model also discovers the effect of error character on vibration of rolling bearings and then lays a foundation of control over vibration of rolling bearings in the process of production,by revealing error root from making the parts of rolling bearings.
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Key words:
- aerospace propulsion system /
- rolling bearing /
- vibration /
- assessment /
- diagnoses /
- non-statistical theory
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[1] 金捷.美国推进系统数值仿真(NPSS)计划综述[J].燃气涡轮试验与研究,2003,16(1):57-62.JIN Jie.A summary of Numerical Propulsion Simulation System (NPSS) by NASA[J].Test and Research of Gas Turbine,2003,16 (1):57-62. [2] 林基恕,张振波.21 世纪航空发动机动力传输系统的展望[J].航空动力学报,2001,16(2):109-114,118.LIN Jishu,ZHANG Zhenbo.Prospects of aeroengine power transmission system in the 21st century[J].Journal of Aerospace Power,2001,16(2):109-114,118. [3] 夏新涛,王中宇,常洪.滚动轴承加工质量与振动的灰色关联度[J].航空动力学报,2005,20(2):250-254.XIA Xintao,WANG Zhongyu,CHANG Hong.Grey correlation of vibration with rolling bearing's machining quality[J].Journal of Aerospace Power,2005,20(2):250-254. [4] Helmut M.Noise characteristics of rolling bearing greases[J].Lubrication Engineering,2000,56(10):36-41. [5] Kiral Zeki,Karagülle Hira.Simulation and analysis of vibration signals generated by rolling element bearing with defects[J].Tribology International,2003,36(9):667-678. [6] Banda N.Noise and vibration in rolling bearings[J].Journal of Japanese Society of Tribologists,2003,48(1):43-48. [7] 唐云冰,罗贵火.非线性支承转子的动平衡[J].航空动力学报,2005,20(4):601-605.TANG Yunbing,LUO Guihuo.Rotor balancing taking nonlinear stiffness characteristics into account[J].Journal of Aerospace Power,2005,20(2):601-605. [8] 王平,廖明夫.滚动轴承故障诊断的自适应共振解调技术[J].航空动力学报,2005,20(4):607-612.WANG Ping,LIAO Mingfu.Adaptive demodulated resonance technique for the rolling bearing fault diagnosis[J].Journal of Aerospace Power,2005,20(4):607-612. [9] Arenas J P.Enhancing the vibration signal from rolling contact bearing using an adaptive closed-loop feedback control for wavelet de-noising[J].Journal of Mechanical Engineering,2005,51(4):184-193. [10] Estocq P,Bolaers F,Dron J P.Method of de-noising by spectral subtraction applied to the detection of rolling bearings defects[J].Journal of Vibration and Control,2006,12(2):197-211. [11] 夏新涛,颉潭成,孙立明,等.滚动轴承噪声理论与实践[M].北京:机械工业出版社,2005.XIA Xintao,XIE Tancheng,SUN Liming,et al.Theory and practice of noise of rolling bearings[M].Beijing:China Machine Press,2005. [12] Julong D.Introduction to grey system theory[J].The Journal of Grey System,1989,1(1):1-24. [13] Tzu-Li Tien.A Research on the prediction of machining accuracy by the deterministic grey dynamic model DGDM(1,1,1)[J].Applied Mathematics and Computation,2005,161:923-945. [14] Efron B.Bootstrap methods[J].The Annals of Statistics,1979,7:1-36. [15] Reeves J J.Bootstrap prediction intervals for ARCH models[J].International Journal of Forecasting,2005,21:237-248. [16] Yatracos Y.Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling[J].Statistics and Probability Letters,2002,59:281-292. [17] Rarnan R,Grillo P.Minimizing uncertainty in vapour cloud explosion modeling[J].Process Safety and Environmental Protection,2005,83(4B):298-306
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