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基于短时傅里叶变换及其倒频谱的滚动轴承静电监测

刘若晨 顾双双 孙见忠 左洪福 贝绍轶

刘若晨, 顾双双, 孙见忠, 等. 基于短时傅里叶变换及其倒频谱的滚动轴承静电监测[J]. 航空动力学报, 2024, 39(9):20220699 doi: 10.13224/j.cnki.jasp.20220699
引用本文: 刘若晨, 顾双双, 孙见忠, 等. 基于短时傅里叶变换及其倒频谱的滚动轴承静电监测[J]. 航空动力学报, 2024, 39(9):20220699 doi: 10.13224/j.cnki.jasp.20220699
LIU Ruochen, GU Shuangshuang, SUN Jianzhong, et al. Electrostatic monitoring of rolling bearings based on short-time Fourier transform and cepstrum[J]. Journal of Aerospace Power, 2024, 39(9):20220699 doi: 10.13224/j.cnki.jasp.20220699
Citation: LIU Ruochen, GU Shuangshuang, SUN Jianzhong, et al. Electrostatic monitoring of rolling bearings based on short-time Fourier transform and cepstrum[J]. Journal of Aerospace Power, 2024, 39(9):20220699 doi: 10.13224/j.cnki.jasp.20220699

基于短时傅里叶变换及其倒频谱的滚动轴承静电监测

doi: 10.13224/j.cnki.jasp.20220699
基金项目: 国家自然科学基金(51705221,91860139,52072176); 江苏理工学院研究生实践创新计划项目(XSJCX20_44);“江苏省政府留学奖学金”资助项目
详细信息
    作者简介:

    刘若晨(1989-),男,副教授,博士,主要从事智能传感技术、寿命预测与健康管理研究

  • 中图分类号: V216.3;TH133.33

Electrostatic monitoring of rolling bearings based on short-time Fourier transform and cepstrum

  • 摘要:

    针对滚动轴承在常规监测方法下耦合多激励源问题,引入静电监测技术,提出了基于短时傅里叶变换及其倒频谱的故障特征提取方法。设计搭建了滚动轴承静电监测试验平台,采集正常和故障情况下滚动轴承的静电、振动信号。从静电信号的时域、频域和时频域角度对比研究,证明了使用时频分析联合倒频谱的方法能准确提取出与实际轴承故障位置相匹配的特征值;对比同步振动信号的故障特征,展现了静电信号低频特征突出、高频衰减快的特点。试验结果表明:滚动轴承发生早期磨损故障后会伴随强烈的静电现象产生。对静电信号进行短时傅里叶变换及倒频谱分析,能有效去除高频激励源,凸显出低频段内轴承故障特征。相比于振动检测,静电检测采集的信号源能较为直接地反映轴承故障信息,为设备故障诊断提供了新思路。

     

  • 图 1  静电监测原理

    Figure 1.  Principle of electrostatic monitoring

    图 2  STFT原理

    Figure 2.  STFT principle

    图 3  磨损区域静电传感器

    Figure 3.  Wear area electrostatic sensors

    图 4  滚动轴承试验件

    Figure 4.  Rolling bearing test pieces

    图 5  滚动轴承试验监测平台及原理

    Figure 5.  Rolling bearing test monitoring platform and principle

    图 6  正常、故障轴承静电信号时域波形图

    Figure 6.  Time domain waveforms of normal and faulty bearing electrostatic signals

    图 7  正常轴承静电监测结果

    Figure 7.  Electrostatic monitoring results of normal bearing

    图 8  故障轴承静电监测结果

    Figure 8.  Electrostatic monitoring results of faulty bearing

    图 9  滚动轴承静电、振动信号时域波形图

    Figure 9.  Time domain waveforms of rolling bearing electrostatic and vibration signals

    图 10  故障轴承振动监测结果

    Figure 10.  Vibration monitoring results of faulty bearing

    表  1  滚动轴承主要参数

    Table  1.   Main parameters of rolling bearings

    轴承
    型号
    节径
    D/mm
    滚子
    直径d/mm
    滚子数
    Z
    接触角
    $\varphi $/(°)
    6204-2Z 33.5 7.94 8 0
    下载: 导出CSV
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  • 收稿日期:  2022-09-17
  • 网络出版日期:  2023-12-21

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