起重运输机械2024,Issue(23) :60-67.

基于CEEMDAN与自适应小波阈值的行星减速器振动信号组合降噪方法

梅杰 程德成 周达 陈定方
起重运输机械2024,Issue(23) :60-67.

基于CEEMDAN与自适应小波阈值的行星减速器振动信号组合降噪方法

梅杰 1程德成 1周达 1陈定方1
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作者信息

  • 1. 武汉理工大学交通与物流工程学院 武汉 430070
  • 折叠

摘要

针对行星减速器振动信号易受噪声干扰的问题,文中提出了基于自适应噪声完全集合经验模态分解和自适应小波阈值的组合降噪方法,并通过仿真和实验信号证明该方法的有效性.对振动信号进行自适应噪声完全集合经验模态分解,获得一系列本征模态函数;计算各本征模态函数的排列熵值,根据排列熵估计不同分量的噪声水平;排除噪声分量,保留有用分量,对含噪分量进行自适应小波阈值去噪,最后将去噪分量和有用分量进行重构得到降噪信号.

Abstract

Considering that the vibration signal of planetary reducer is easily disturbed by noise,a combined denoising method based on empirical mode decomposition of adaptive noise complete set and adaptive wavelet threshold is proposed,and the effectiveness of this method is proved by simulation and experimental signals.The vibration signal was decomposed by adaptive noise complete set empirical mode,and a series of eigenmode functions were obtained.The arrangement entropy of each eigenmode function was calculated,and the noise level of different components was estimated according to the arrangement entropy.Noise components were eliminated,and useful components were retained,and the noise-containing components was denoised with adaptive wavelet threshold.Finally,the denoised component and the useful component were reconstructed to obtain denoised signals.

关键词

行星减速器/自适应噪声完全集合经验模态分解/小波阈值降噪/排列熵/方法

Key words

planetary reducer/adaptive noise complete set empirical mode decomposition/wavelet threshold denoising/permutation entropy/method

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出版年

2024
起重运输机械
北京起重运输机械设计研究院

起重运输机械

影响因子:0.214
ISSN:1001-0785
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