Transactions of Materials and Heat Treatment

Title：Research on signal processing technique of ultrasonic testing for forging workpiece with rough surface

Authors： Yang Bo

Unit： Central Iron & Steel Research Institute

KeyWords： forging workpiece ultrasonic testing signal processing Fourier transform wavelet transform

ClassificationCode：

year,vol(issue):pagenumber：2014,39(10):128-131

Abstract：

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.

Funds：

杨博（1987-），男，硕士研究生

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