【摘要】：針對傳統(tǒng)經驗模態(tài)分解EMD時頻分析功能不足的缺陷,提出了基于經驗模態(tài)分解EMD和頻率切片小波變換FSWT組合的爆破振動信號分析方法。對實際工程采集到的爆破振動信號進行EMD分解,根據相關性系數確定優(yōu)勢分量實現信號重構,并獲取重構信號全頻帶FSWT時頻特征。利用FSWT逆變換能切割任意頻率區(qū)間的特點,將重構信號選擇時間、頻率切片區(qū)間進行了更為細化時頻特征提取。研究了EMD-FSWT組合方法、Hilbert-Huang變換(HHT)、小波變換(WT)三種方法的消噪濾波效果,并與短時Fourier變換(STFT)、重排平滑Wigner-Ville分布(RSPWVD)兩種傳統(tǒng)時頻方法進行了對比。分析結果表明:EMD-FSWT組合方法,對瞬態(tài)信號在時頻域上的分辨率更高,消噪和濾波效果好,適于對爆破振動信號進行更為精細化的時頻特征分析。
[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.
【作者單位】： 中國礦業(yè)大學(北京)力學與建筑工程學院;
【基金】：國家自然科學基金-面上項目(51274203)
【分類號】：TD235.1

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本文編號：2316639