滚动轴承支承下的转子碰摩故障动力分析、特征提取与智能诊断

李飞敏; 陈果; 侯佑平

滚动轴承支承下的转子碰摩故障动力分析、特征提取与智能诊断

南京航空航天大学民航学院, 南京 210016

计量
- 文章访问数: 1616
- HTML浏览量: 1
- PDF量: 371
- 被引次数: 0
出版历程
- 收稿日期: 2006-10-30
- 修回日期: 2007-03-10
- 刊出日期: 2007-11-28

Dynamics analysis,feature extraction and intelligent diagnosis for rubbing fault of rotor supported on bull bearings

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

摘要: 针对滚动轴承支承下的转子碰摩故障诊断问题,考虑滚动轴承非线性赫兹接触和轴承径向间隙,建立了含不平衡-碰摩耦合故障的转子-滚动轴承系统动力学模型.应用三维谱图分析碰摩诊断依据和确定频段特征,利用仿真数据获取结构最优的神经网络模型,并对试验碰摩故障数据进行诊断,识别率高达90%以上.计算结果充分表明了建立的动力学模型的有效性,同时,研究结果为有效结合故障机理分析与故障智能诊断提供了新的方法.
- 转子 /
- 滚动轴承 /
- 耦合动力学 /
- 碰摩 /
- 智能诊断
Abstract: This paper aims at diagnosing the rubbing fault of a rotor supported on ball bearings.Firstly,a dynamics model of unbalance-rubbing coupling fault of rotorball bearing system was established by taking into account the nonlinear Hertzian contact and the radial clearance;secondly,3-Dspectrum diagram was used to analyze the rubbing fault and determine the characteristics of every frequency zone;thirdly,an optimized self-adaptive neural network was obtained using simulation data,and rubbing test samples were diagnosed with a recognition accuracy over 91%.The results validate the usefulness of this dynamics model,meanwhile the research findings provide a new method for effectively combining malfunction mechanism analysis and intelligent diagnosis.
- rotor /
- ball bearings /
- coupling dynamics /
- rubbing /
- intelligent diagnosis

HTML

参考文献(9)

[1]	袁惠群,闻邦椿,王德友,等.滚动轴承-转子-定子系统的碰摩故障分析[J].东北大学学报(自然科学版),2003,24(3):244-247.YUANHuiqun,WEN Bangchun,WANG Deyou,et al.Nonlinear dynamic properties of rolling bear-rotor-stator box with local rubbing[J].Journal of Northeastern University (Natural Science),2003,24(3):244-247.
[2]	袁茹,赵凌燕,王三民.滚动轴承-转子系统的非线性动力学特性分析[J].机械科学与技术,2004,23(10):1175-1177.YUAN Ru,ZHAO Lingyan,WANG Sanmin.Analysis of the nonlinear dynamic behaviors of a rolling bearing-rotor system[J].Mechanical Science and Technology,2004,23(10):1175-1177.
[3]	Tiwari M,Gupta K.Dynamic response of an unbalanced rotor supported on ball bearings[J].Journal of Sound and Vibration,2000,238(5):757-779.
[4]	Fukata S,Gad E H,Kondou T,et al.On the radial vibration of ball bearings (computer simulation)[J].Bulletin of the JSME,1985,28:899-904.
[5]	任辉.基于LVQ神经网络的混沌时间序列分类识别[J].机械科学与技术,2001,20(6):916-917.REN Hui; PEI Chengming.Classification of chaotic time series using neural network[J].Mechanical Science and Technology,2001,20(6):916-917.
[6]	Kalkat M,Yildirim S,Uzmay I.Artificial neural networks design for fault identification in a rotor-bearing system[J].Mechatronics,2005,15:573-588.
[7]	姜健飞,胡良剑,唐俭.数值分析及其MATLAB实验[M].北京:科学出版社,2004:149-151.
[8]	陈予恕,田家玉,金宗武,等.非线性动力学理论与大型火电组振动故障综合治理技术[J].中国机械工程,1999,10(9):1063-1067.CHEN Yu shu,TIAN Jia yu,JIN Zong wu,et al.Theory of nonlinear dynamics and applied techniques of solving irregular operation of a large scale gas turbine in a comprehensive way[J].China Mechanical Engineering,1999,10(9):1063-1067.
[9]	陈果.神经网络模型的预测精度影响因素分析及其优化[J].模式识别与人工智能,2005,18(5):528-534.CHEN Guo.Analysis of influence factors for forecasting precision of artificial neural network model and its optimizing[J].Pattern Recognition and Artificial Intelligence,2005,18(5):528-534.