锻压技术

表面粗糙锻件的超声检测信号处理技术研究

英文标题：Research on signal processing technique of ultrasonic testing for forging workpiece with rough surface

作者：杨博

单位：钢铁研究总院

分类号：

出版年,卷(期):页码：2014,39(10):128-131

摘要：

针对表面粗糙锻件的超声检测信号分别做了基于傅里叶变换的信号处理工作和基于小波变换的信号处理工作。其中基于傅里叶变换的信号处理主要包括频谱分析和FIR滤波，基于小波变换的信号处理主要包括时频分析和小波去噪。经FIR滤波后，表面粗糙锻件上平底孔缺陷信号的信噪比(SNR)与滤波前相比提高了3.9 dB，但是超声检测信号的均方根误差(RMSE)与滤波前相比减小了0.085；对信号做小波去噪处理后，平底孔缺陷信号的信噪比与去噪前相比提高了9.9 dB，而且信号的均方根误差与去噪前相比几乎没发生变化。通过实验对比发现，基于小波变换的信号处理技术可以对表面粗糙锻件的超声检测信号达到更好的去噪效果。

The ultrasonic testing signal of forging workpiece with rough surface was processed based on the Fourier transform and wavelet transform respectively. The signal processing work based on the Fourier transform mainly refers to the spectrum analysis and FIR filter, and the signal processing work based on the wavelet transform mainly refers to the time-frequency analysis and Wavelet remove noise. After FIR filter, the SNR of defect signal of flat bottom hole on the forging workpiece with rough surface was improved by 3.9 dB compared with the original signal, but the RMSE of ultrasonic testing signal was reduced by 0.085. After wavelet remove noise, the SNR of defect signal was improved by 9.9 dB, but the RMSE was almost unchanged compared with the original signal. By comparing the signal processing results, it is showed that the wavelet transform method is better than the Fourier transform method on the ultrasonic testing signal processing forging workpiece with rough surface.

基金项目：

杨博（1987-），男，硕士研究生

参考文献：

[1]郭会光,曲宗实.我国大锻件制造业的发展[J].大型铸锻件,2003,(1):42-45.

Guo H G, Qu Z S. Development of heavy forging manufacturing industry in our country[J].Heavy Casting and Forging, 2003, (1): 42-45.

[2]康洪涛,米林,薛显光,等.大型锻件的超声检测技术[J].四川兵工学报,2010,31(5):63-64.

Kang H T,Mi L，Xue X G,et al.Ultrasonic testing technology of heavy forgings[J].Sichuan Ordnance Journal,2010,31(5):63-64.

[3]康宇清.粗糙表面锻件超声波检测[J].大众科技,2011,(8):123-124.

Kang Y Q.Ultrasonic testing of forging piece with rough surface[J].Popular Science & Technology, 2011,(8):123-124.

[4]JB/T 4730.3-2005，承压设备无损检测第3部分：超声检测[S].

JB/T 4730.3-2005，Nondestructive testing of pressure equipments-Part 3: ultrasonic testing[S].

[5]胡丽莹,肖蓬.快速傅里叶变换在频谱分析中的应用[J].福建师范大学学报:自然科学版,2011,27(4):27-30.

Hu L Y,Xiao P. Application of fast fourier transform in frequency and spectrum analysis[J]. Journal of Fujian Normal University:Natural Science Edition,2011,27(4):27-30.

[6]陈劲松,刘艳伟.基于窗函数的FIR数字滤波器设计[J].制造业自动化,2012,34(9):104-105.

Chen J S, Liu Y W. Based on the window function of the FIR digital filter design[J].Manufacturing Automation,2012,34(9):104-105.

[7]索进章,梁昭峰,董守龙,等.小波阈值去噪法在超声信号处理中的应用研究[J].噪声与振动控制, 2006,(3):35-38.

Suo J Z, Liang Z F, Dong S L, et al. Application of wavelet threshold de-noising method in processing ultrasonic signal[J].Noise and Vibration Control, 2006,(3):35-38.

[8]Farhang Honarvar,Hamid Sheikhzadeh,Michael Moles,et al.Improving the time-resolution and signal-to-noise ratio of ultrasonic NDE signal[J].Ultrasonic,2004,41(9):755-763.

[9]Jeanluc Starck,Ralf Siebenmrgen,Roland Gredel.Spectral analysis using the wavelet transform[J].Astrophysical,1997,482:1011-1020.

[10]Siqueira M H S, Gatts C E N,R R Da Silva,et al.The use of ultrasonic guided waves and wavelets analysis in pipe inspection[J].Ultrasonic,2004,41(10):785-797.

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