| 钟雯,孙冰,宋良灵,曾晟.自适应能量分布改进的FDM在爆破振动信号降噪中的应用[J].南华大学学报(自然科学版),2024,(5):78~84.[ZHONG Wen,SUN Bing,SONG Liangling,ZENG Sheng.Application of FDM with Adaptive Energy Distribution Improvement in Blasting Vibration Signal Noise Reduction[J].Journal of University of South China(Science and Technology),2024,(5):78~84.] |
| 自适应能量分布改进的FDM在爆破振动信号降噪中的应用 |
| Application of FDM with Adaptive Energy Distribution Improvement in Blasting Vibration Signal Noise Reduction |
| 投稿时间：2024-04-07 |
| DOI： |
| 中文关键词: 工程爆破 爆破振动信号 自适应能量 FDM 时频分析 |
| 英文关键词:engineering blasting blasting vibration signal adaptive energy FDM time-frequency analysis |
| 基金项目: |
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| 摘要点击次数: 5 |
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| 中文摘要: |
| 为了解决利用傅里叶分解法(fourier decomposition method,FDM)对爆破振动信号进行分析处理时在非优势区间内过度分解导致的效率降低,根据该类信号能量分布主要集中在低频这一特点,提出了自适应能量特性的FDM爆破振动信号分解方法,并将其与小波变换(wavelet transform,WT)、经验模态分解(empirical mode decomposition,EMD)以及FDM分解法进行对比。结果表明:改进后的FDM分解法能够根据信号的能量分布找到最佳优势频率区间,大量减少了由于过度分解造成的无意义分量,有效提高了信号的分解效率;与WT、EMD以及FDM分解法相比,该方法的信噪比更高,均方根差更低,能够在保留爆破振动信号时频特征的同时,有效减小信号重构误差。 |
| 英文摘要: |
| In order to solve the problem of reduced efficiency caused by excessive decomposition in the non-dominant interval when analyzing and processing blasting vibration signals using Fourier Decomposition Method (FDM), according to the characteristic that the energy distribution of this type of signal is mainly concentrated in low frequency, an FDM blasting vibration signal decomposition method with adaptive energy characteristics is proposed and compared with Wavelet Transform (WT), Empirical Mode Decomposition (EMD) and FDM decomposition methods. The results show that the improved FDM decomposition method can find the best advantage frequency interval according to the energy distribution of the signal, greatly reducing the meaningless components caused by over-decomposition, and effectively improving the signal decomposition efficiency; compared with the WT, EMD and FDM decomposition methods, this method has a higher signal-to-noise ratio and a lower root mean square difference. It can effectively reduce the signal reconstruction error while retaining the time-frequency characteristics of the blasting vibration signal. |
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