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多脉冲激励法在轴承滚珠磨损中的状态研究及应用

王海涛 张霄 史丽晨 王琨 康振亚

王海涛, 张霄, 史丽晨, 王琨, 康振亚. 多脉冲激励法在轴承滚珠磨损中的状态研究及应用[J]. 机械科学与技术, 2018, 37(1): 30-35. doi: 10.13433/j.cnki.1003-8728.2018.0106
引用本文: 王海涛, 张霄, 史丽晨, 王琨, 康振亚. 多脉冲激励法在轴承滚珠磨损中的状态研究及应用[J]. 机械科学与技术, 2018, 37(1): 30-35. doi: 10.13433/j.cnki.1003-8728.2018.0106
Wang Haitao, Zhang Xiao, Shi Lichen, Wang Kun, Kang Zhenya. State Research and Application of Multiple-pulse Excitation Method in Diagnosis of Bearing Ball Wear[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(1): 30-35. doi: 10.13433/j.cnki.1003-8728.2018.0106
Citation: Wang Haitao, Zhang Xiao, Shi Lichen, Wang Kun, Kang Zhenya. State Research and Application of Multiple-pulse Excitation Method in Diagnosis of Bearing Ball Wear[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(1): 30-35. doi: 10.13433/j.cnki.1003-8728.2018.0106

多脉冲激励法在轴承滚珠磨损中的状态研究及应用

doi: 10.13433/j.cnki.1003-8728.2018.0106
基金项目: 

陕西省自然科学基础研究计划项目(2017JQ5044)与西安市工业应用技术研发项目(JZKD005)资助

详细信息
    作者简介:

    王海涛(1983-),讲师,博士,研究方向为机械振动理论及故障诊断研究,wanghtao0418@163.com

    通讯作者:

    史丽晨,教授,博士,Bestslc@163.com

State Research and Application of Multiple-pulse Excitation Method in Diagnosis of Bearing Ball Wear

  • 摘要: 机械故障中的轴承故障具有强的非线性特征,其故障特征提取具有一定的困难,针对此问题提出了一种基于多脉冲激励法下的Volterra级数核的故障特征提取方法。通过系统的输入输出信号并建立非线性系统的Volterra级数模型,利用时域和频域的低阶核进行轴承所处状态的对比,进而分析是否处于故障状态。以美国西储大学滚动轴承故障为例来验证该算法,应用小波算法和多脉冲激励法进行对比,得出多脉冲激励法能够较为方便准确地提取轴承的故障特征。
  • [1] 李雅梅,陈明霞,杜晶.小波理论在滚动轴承故障诊断中的应用[J].计算机系统应用,2012,21(7):172-176 Li Y M, Chen M X, Du J. Application of wavelet theory to fault diagnosis of rolling bearing[J]. Computer Systems & Applications, 2012,21(7):172-176(in Chinese)
    [2] 段晨东.基于第二代小波变换的故障诊断技术研究[D].西安:西安交通大学,2004 Duan C D. Research on fault diagnosis techniques using second generation wavelet transform[D]. Xi'an:Xi'an Jiaotong University, 2004(in Chinese)
    [3] 崔宝珍,潘宏侠.小波分析在滚动轴承故障诊断中的应用[J].科技情报开发与经济,2005,15(2):176-178 Cui B Z, Pan H X. The application of the wavelet analysis in the fault diagnosis of rolling bearings[J]. Sci/Tech Information Development & Economy, 2005,15(2):176-178(in Chinese)
    [4] 林英祥,孙清磊,陈萍,等.冲击脉冲技术在滚动轴承故障诊断中的应用[J].海军工程大学学报,2013,25(4):85-90,107 Lin Y X, Sun Q L, Chen P, et al. Application of impact pulse technology to roller bearing failure detection[J]. Journal of Naval Engineering University, 2013,25(4):85-90,107(in Chinese)
    [5] 陈忠,郑时雄.EMD信号分析方法边缘效应的分析[J].数据采集与处理,2003,18(1):114-118 Chen Z, Zheng S X. Analysis on end effects of EMD method[J]. Journal of Data Acquisition & Processing, 2003,18(1):114-118(in Chinese)
    [6] Wazwaz A M, Rach R. Two reliable methods for solving the Volterra integral equation with a weakly singular kernel[J]. Journal of Computational and Applied Mathematics, 2016,302:71-80
    [7] 焦李成.非线性系统故障诊断的伏尔泰拉泛函理论[J].西安交通大学学报,1988,22(3):79-85 Jiao L C. Volterra functional theory of fault diagnosis for nonlinear system[J]. Journal of Xi'an Jiaotong University, 1988,22(3):79-85(in Chinese)
    [8] 魏瑞轩,韩崇昭,张优云,等.非线性系统故障诊断的Volterra模型方法[J].系统工程与电子技术,2004,26(11):1736-1738,1752 Wei R X, Han C Z, Zhang Y Y, et al. Volterra model method for fault diagnosis of a nonlinear system[J]. Systems Engineering and Electronics, 2004,26(11):1736-1738,1752(in Chinese)
    [9] Israelsen B W, Smith D A. Generalized laguerre reduction of the volterra kernel for practical identification of nonlinear dynamic systems[J]. arXiv:1410.0741, 2014
    [10] 夏希楼.机械设备故障检测诊断技术的现状与发展[J].煤矿机械,2007,28(3):183-185 Xia X L. Present situation and development tendency of examination and diagnosis technology about mechanical equipment breakdown[J]. Coal Mine Machinery, 2007,28(3):183-185(in Chinese)
    [11] Shiki S B, Lopes Jr V, Silva S D. Identification of nonlinear structures using discrete-time Volterra series[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2014,36(3):523-532
    [12] Wang Q S, Wang K Y, Chen S J. Least squares approxima-tion method for the solution of Volterra-Fredholm integral equations[J]. Journal of Computational and Applied Mathematics, 2014,272:141-147
    [13] Li S F. Classical theory of Runge-Kutta methods for Volterra functional differential equations[J]. Applied Mathematics and Computation, 2014,230:78-95
    [14] 朱大奇,陈尔奎.旋转机械故障诊断的量子神经网络算法[J].中国电机工程学报,2006,26(1):132-136 Zhu D Q, Chen E K. A quantum neural networks fault diagnosis algorithm for rotating machinery[J]. Proceedings of the CSEE, 2006,26(1):132-136(in Chinese)
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出版历程
  • 收稿日期:  2016-07-12
  • 刊出日期:  2018-01-15

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