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ICEEMD和HD的单向阀早期故障信号降噪方法

钱恩丽 黄国勇 何冬 李锶宇

钱恩丽, 黄国勇, 何冬, 李锶宇. ICEEMD和HD的单向阀早期故障信号降噪方法[J]. 机械科学与技术, 2022, 41(5): 729-736. doi: 10.13433/j.cnki.1003-8728.20200314
引用本文: 钱恩丽, 黄国勇, 何冬, 李锶宇. ICEEMD和HD的单向阀早期故障信号降噪方法[J]. 机械科学与技术, 2022, 41(5): 729-736. doi: 10.13433/j.cnki.1003-8728.20200314
QIAN Enli, HUANG Guoyong, HE Dong, LI Siyu. A Removing Noise Method of Check Valve Early Fault Signal based on ICEEMD and HD[J]. Mechanical Science and Technology for Aerospace Engineering, 2022, 41(5): 729-736. doi: 10.13433/j.cnki.1003-8728.20200314
Citation: QIAN Enli, HUANG Guoyong, HE Dong, LI Siyu. A Removing Noise Method of Check Valve Early Fault Signal based on ICEEMD and HD[J]. Mechanical Science and Technology for Aerospace Engineering, 2022, 41(5): 729-736. doi: 10.13433/j.cnki.1003-8728.20200314

ICEEMD和HD的单向阀早期故障信号降噪方法

doi: 10.13433/j.cnki.1003-8728.20200314
基金项目: 

国家自然科学基金项目 61663017

详细信息
    作者简介:

    钱恩丽(1995-), 硕士研究生, 研究方向为信号处理、机械故障诊断, 1229249851@qq.com

    通讯作者:

    黄国勇, 副教授, 硕士生导师, 42427566@qq.com

  • 中图分类号: TN911.7;TH165.3

A Removing Noise Method of Check Valve Early Fault Signal based on ICEEMD and HD

  • 摘要: 针对往复式高压隔膜泵单向阀早期故障振动信号含有大量背景噪声致使特征信息被噪声淹没的问题, 提出改进的完备集合经验模态分解(Improved complete ensemble empirical mode decomposition, ICEEMD)和豪斯多夫距离(Hausdorff distance, HD)的单向阀早期故障信号降噪方法。首先, 使用ICEEMD将采集信号分解为多个本征模态函数(Intrinsic mode function, IMF); 然后, 计算每个IMF分量与原始信号的概率密度函数的豪斯多夫距离, 利用HD将含噪IMF分量从ICEEMD分解得到的IMF分量中分离; 再次, 以峭度为指标, 选取峭度值较大的部分IMF分量重构; 最后, 对重构信号进行希尔伯特包络解调, 进行对比试验分析降噪效果。仿真结果表明, 该方法可有效提取强噪声下信号特征频率。实测数据试验结果表明, 该方法能够有效提取噪声淹没的单向阀运行基频及其倍频, 具有较好的降噪效果。
  • 图  1  降噪方法流程图

    图  2  仿真信号的时域波形和频谱图

    图  3  仿真信号IMF分量时域波形图

    图  4  仿真信号PDF与各IMF分量PDF间HD值

    图  5  仿真信号希尔伯特包络解调图

    图  6  传感器安放位置及故障单向阀

    图  7  早期磨损故障信号的时域波形和频谱图

    图  8  早期磨损故障信号IMF分量时域波形图

    图  9  ICEEMD分解各IMF分量PDF与原信号PDF间HD值

    图  10  所提方法希尔伯特包络解调图

    图  11  VMD分解各IMF分量PDF与原信号PDF间HD值

    图  12  VMD+HD+峭度希尔伯特包络解调图

    图  13  ICEEMD+峭度希尔伯特包络解调图

    图  14  ICEEMD+HD希尔伯特包络解调图

    表  1  仿真信号各IMF分量峭度值

    IMFs 峭度值 IMFs 峭度值
    IMF1 2.078 4 IMF8 2.673 8
    IMF2 2.798 3 IMF9 2.159 4
    IMF3 2.878 8 IMF10 2.450 3
    IMF4 3.044 1 IMF11 2.054 3
    IMF5 2.887 5 IMF12 2.162 0
    IMF6 2.960 8 IMF13 1.530 6
    IMF7 2.637 0
    下载: 导出CSV

    表  2  早期磨损故障信号IMF分量峭度值

    IMFs 峭度值 IMFs 峭度值
    IMF1 43.563 2 IMF7 4.463 0
    IMF2 5.746 6 IMF8 3.847 1
    IMF3 4.933 5 IMF9 4.961 4
    IMF4 3.871 1 IMF10 6.383 6
    IMF5 2.831 9 IMF11 1.741 1
    IMF6 3.871 5
    下载: 导出CSV

    表  3  不同降噪方法样本熵

    编号 降噪方法 样本熵(SE)
    1 本文所提方法 0.125 8
    2 VMD+HD+峭度 0.653 0
    3 ICEEMD+峭度 1.307 4
    4 ICEEMD+HD 0.413 4
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-08-13
  • 刊出日期:  2022-05-01

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