EMD和FSWT組合方法在爆破振動信號分析中的應(yīng)用研究
發(fā)布時間:2018-11-07 14:26
【摘要】:針對傳統(tǒng)經(jīng)驗(yàn)?zāi)B(tài)分解EMD時頻分析功能不足的缺陷,提出了基于經(jīng)驗(yàn)?zāi)B(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(shí)際工程采集到的爆破振動信號進(jìn)行EMD分解,根據(jù)相關(guān)性系數(shù)確定優(yōu)勢分量實(shí)現(xiàn)信號重構(gòu),并獲取重構(gòu)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(diǎn),將重構(gòu)信號選擇時間、頻率切片區(qū)間進(jìn)行了更為細(xì)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(jìn)行了對比。分析結(jié)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(jìn)行更為精細(xì)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(xué)(北京)力學(xué)與建筑工程學(xué)院;
【基金】:國家自然科學(xué)基金-面上項(xiàng)目(51274203)
【分類號】:TD235.1
[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(xué)(北京)力學(xué)與建筑工程學(xué)院;
【基金】:國家自然科學(xué)基金-面上項(xiàng)目(51274203)
【分類號】:TD235.1
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 何浩祥;陳奎;閆維明;;基于小波包變換和時變頻率的結(jié)構(gòu)地震損傷評估[J];振動與沖擊;2016年07期
2 李精明;魏海軍;魏立隊(duì);楊智遠(yuǎn);劉z,
本文編號:2316639
本文鏈接:http://sikaile.net/kejilunwen/kuangye/2316639.html
最近更新
教材專著