冲击载荷下岩石声发射信号的去噪研究
Wavelet threshold denoising of rock acoustic emission signals under impact loading
针对冲击荷载下岩石声发射信号的非平稳特性，运用离散小波变换对信号进行去噪分析，根据各小波基对信号的重构均方根误差，选择Daubechies小波系中的小波基db10作为分析冲击荷载下岩石声发射信号的最佳小波基，并运用无偏估计程序SURE确定了各分解层的阈值。比较了冲击应力波作用下在弹性杆和岩石试样上采集到信号的小波阈值去噪和常规低通滤波器去噪的信噪比(SNR)和均方根误差(RMSE)，研究结果表明，离散小波阈值去噪适用于冲击荷载下岩石声发射非平稳信号的去噪，相对于常规低通滤波器的去噪处理，离散小波变换不仅有非常好的去噪效果，而且能得到更精确的重构信号，可以取代声发射仪中的低通滤波器对动载荷下岩石声发射信号进行去噪处理。?????
he discrete wavelet transform theory was used to process non-stationary rock acoustic emission signals recorded in Split Hopkinson Pressure Bar tests. Wavelet basis db10 was selected as the optimum wavelet for processing such signals by calculating the reconstruction Root Mean Square Error of each wavelet basis candidate, and the unbiased estimation procedure SURE was used to determine the threshold value for each decomposition level. Denoising by wavelet thresholding and conventional low-pass filter were compared by evaluating the Signal to Noise Ratio and Root Mean Square Error. The results show that discrete wavelet transform has a favorable denoising effect and better signal reconstruction capability, and also indicate that the wavelet technique is especially suitable for denoising non-stationary signals like the transient signals of rock acoustic emission under impact loading.
饶蒙、刘希灵、王金鹏、潘梦成
矿业工程理论与方法论地质学声学工程
SHPB 岩石声发射信号 离散小波变换 小波阈值去噪 低通滤波器去噪?????
Split Hopkinson Pressure Barrock acoustic emission signalsdiscrete wavelet transformwavelet threshold denoisinglow-pass filter denoising
饶蒙,刘希灵,王金鹏,潘梦成.冲击载荷下岩石声发射信号的去噪研究[EB/OL].(2015-12-09)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201512-468.点此复制
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