EMD和FSWT组合方法在爆破振动信号分析中的应用研究

发布时间：2018-11-07 14:26

【摘要】：针对传统经验模态分解EMD时频分析功能不足的缺陷,提出了基于经验模态分解EMD和频率切片小波变换FSWT组合的爆破振动信号分析方法。对实际工程采集到的爆破振动信号进行EMD分解,根据相关性系数确定优势分量实现信号重构,并获取重构信号全频带FSWT时频特征。利用FSWT逆变换能切割任意频率区间的特点,将重构信号选择时间、频率切片区间进行了更为细化时频特征提取。研究了EMD-FSWT组合方法、Hilbert-Huang变换(HHT)、小波变换(WT)三种方法的消噪滤波效果,并与短时Fourier变换(STFT)、重排平滑Wigner-Ville分布(RSPWVD)两种传统时频方法进行了对比。分析结果表明:EMD-FSWT组合方法,对瞬态信号在时频域上的分辨率更高,消噪和滤波效果好,适于对爆破振动信号进行更为精细化的时频特征分析。
[Abstract]:Aiming at the deficiency of the traditional empirical mode decomposition (EMD) time-frequency analysis, a method of blasting vibration signal analysis based on the combination of empirical mode decomposition (EMD) and frequency slice wavelet transform (FSWT) is proposed. The blasting vibration signals collected from practical engineering are decomposed by EMD, the dominant components are determined according to the correlation coefficient to realize signal reconstruction, and the full band FSWT time-frequency characteristics of reconstructed signals are obtained. By using the characteristic of FSWT inverse transform which can cut any frequency interval, the time and frequency feature extraction of the reconstructed signal and the frequency slice region are more detailed. In this paper, the denoising and filtering effects of EMD-FSWT combination method and (HHT), wavelet transform (WT) method of Hilbert-Huang transform are studied, and compared with two traditional time-frequency methods of (STFT), rearrangement smoothing Wigner-Ville distribution (RSPWVD) in short time Fourier transform. The analysis results show that the EMD-FSWT combination method has higher resolution in time-frequency domain, better denoising and filtering effect, and is suitable for more refined time-frequency characteristic analysis of blasting vibration signals.
【作者单位】：中国矿业大学(北京)力学与建筑工程学院;
【基金】：国家自然科学基金-面上项目(51274203)
【分类号】：TD235.1

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