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Volterra核函数法在轴承滚珠磨损中的特征提取及应用

王海涛 张霄 史丽晨 王琨

王海涛, 张霄, 史丽晨, 王琨. Volterra核函数法在轴承滚珠磨损中的特征提取及应用[J]. 应用数学和力学, 2017, 38(6): 633-642. doi: 10.21656/1000-0887.370243
引用本文: 王海涛, 张霄, 史丽晨, 王琨. Volterra核函数法在轴承滚珠磨损中的特征提取及应用[J]. 应用数学和力学, 2017, 38(6): 633-642. doi: 10.21656/1000-0887.370243
WANG Hai-tao, ZHANG Xiao, SHI Li-chen, WANG Kun. Application of the Volterra Kernel Function Method in Feature Extraction of Bearing Ball Wear[J]. Applied Mathematics and Mechanics, 2017, 38(6): 633-642. doi: 10.21656/1000-0887.370243
Citation: WANG Hai-tao, ZHANG Xiao, SHI Li-chen, WANG Kun. Application of the Volterra Kernel Function Method in Feature Extraction of Bearing Ball Wear[J]. Applied Mathematics and Mechanics, 2017, 38(6): 633-642. doi: 10.21656/1000-0887.370243

Volterra核函数法在轴承滚珠磨损中的特征提取及应用

doi: 10.21656/1000-0887.370243
基金项目: 国家自然科学基金青年科学基金(51105292)
详细信息
    作者简介:

    王海涛(1983—),男,讲师,博士(E-mail: wanghtao0418@163.com);张霄(1990—),男,硕士生;史丽晨(1972—),女,教授,博士,博士生导师(通讯作者. E-mail: 1113147350@qq.com).

  • 中图分类号: TH17

Application of the Volterra Kernel Function Method in Feature Extraction of Bearing Ball Wear

Funds: The National Science Fund for Young Scholars of China(51105292)
  • 摘要: 针对滚动轴承滚珠磨损故障特征难以提取的问题,提出一种基于多脉冲激励法下的Volterra级数核的求解算法.该方法是一种非线性系统模型的“交叉”诊断法,利用轴承系统输入输出的采样信号,建立Volterra非线性辨识系统模型,并运用多脉冲激励Volterra低阶核求解算法,将得到的低阶核通过时域和频域进行对比来判断轴承当前所处的运行状态.该文以无心车床主轴轴承为例进行实验验证,并与传统的小波分析法对比得出:多脉冲激励法能够方便准确地提取轴承的故障特征,该方法对此类故障的诊断具有一定的借鉴意义.
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出版历程
  • 收稿日期:  2016-08-05
  • 修回日期:  2016-08-21
  • 刊出日期:  2017-06-15

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