[1]石大磊,傅 攀.基于CEEMD的滚动轴承振动信号自适应降噪方法[J].机械与电子,2018,(11):3-7.
　SHI Dalei,FU Pan.Adaptive De-noising Method of Rolling Bearing Vibration Signal Based on CEEMD[J].Machinery & Electronics,2018,(11):3-7.
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基于CEEMD的滚动轴承振动信号自适应降噪方法
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年11期
页码:
3-7
栏目:
设计与研究
出版日期:
2018-11-24

文章信息/Info

Title:
Adaptive De-noising Method of Rolling Bearing Vibration Signal Based on CEEMD
文章编号:
1001-2257(2018)11-0003-05
作者:
石大磊; 傅 攀
(西南交通大学机械工程学院,四川 成都610031)
Author(s):
SHI Dalei; FU Pan
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)
关键词:
滚动轴承;  振动信号;  互补集合经验模态分解;  小波阈值;  自适应
Keywords:
rolling bearing;  vibration signal;  complete ensemble empirical mode decomposition;  wavelet threshold;  adaptive
分类号:
TH136
文献标志码:
A
摘要:
针对滚动轴承故障特征信号容易被噪声掩盖难以提取的问题,提出了基于互补集合经验模态分解(CEEMD)的滚动轴承振动信号自适应降噪方法。为了准确判定噪声分量和有用信号分量的分界点,在对振动信号进行CEEMD分解后,设计了依据信噪分量自相关函数的单边波峰宽度特性自适应地判定分界点的方法。为了保证重构信号的完整性,利用改进的小波阈值降噪方法提取低频IMF分量中的高频有效信息。实验分析表明,结合改进阈值函数的CEEMD自适应降噪方法能够有效地去除故障振动信号中夹杂的噪声,并且很好地保留了滚动轴承振动信号的突变细节,达到了不错的降噪效果。
Abstract:
Aiming at the problem that the rolling bearing fault characteristic signal is easy to be masked by noise, an adaptive de-noising method based on complete ensemble empirical mode decomposition(CEEMD)for rolling bearing vibration signal is proposed. In order to accurately determine the boundary between the noise component and the useful signal component, after the CEEMD decomposition of the vibration signal, a method for adaptively determining the boundary point based on the single-edge peak width characteristic of the signal-to-noise component autocorrelation function is designed. In order to ensure the integrity of the reconstructed signal, the improved wavelet threshold de-noising method is used to extract the high frequency effective information in the low frequency IMF component. The experimental analysis shows that the CEEMD adaptive de-noising method combined with the improved threshold function can effectively remove the noise in the fault vibration signal, and retain the abrupt details of the rolling bearing vibration signal, achieving a good noise reduction effect.

参考文献/References:

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[7] 王亚萍,匡宇麒,葛江华,等.CEEMD和小波半软阈值相结合的滚动轴承降噪[J].振动.测试与诊断,2018,38(01):80-86.
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备注/Memo

备注/Memo:
收稿日期:2018-07-24
基金项目:中央高校基本科研业务费专项资金资助(2682016CX033)
作者简介:石大磊(1995-),男,四川广元人,硕士研究生,研究方向为智能化状态监测与故障诊断; 傅 攀(1961-),男,河南鹤壁人,教授,博士研究生导师,研究方向为先进测控技术和系统。
更新日期/Last Update: 2018-11-24