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Slection of wavelet fuction on denoise qulities of ultrasonic inspection signal

机译:超声检查信号去噪质量的小波功能的选择

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It is suggested in this paper to denoise the ultrasonic inspection signals using wavelet transform. The theoretic base is that wavelet transform is a band-pass filter. Firstly, the frequencies of the inspection signal are evaluated according to the excited signal. Secondly, an appropriate scale for wavelet transform is computed following the laws between the scale and the frequency. Thirdly, wavelet transform with the scale would be operated. As results, the echoes by the flaws could be discerned in the wavelet coefficients. Finally, the propagation of the guided wave in a damaged pipe is simulated by code ANSYS and the signal processing are operated by code MATLAB. The different wavelet functions are also discussed aiming at the denoised qualities. The signal-to-noise ratio (SNR) is used to evaluate the quality for different wavelet. It could be concluded that the Morlet wavelet is suitable to operate the ultrasonic inspection signal excited by a sinusoidal signal modulation by Hanning windows.
机译:在本文中建议使用小波变换来表示超声检查信号。理论基础是小波变换是带通滤波器。首先,根据激发信号评估检查信号的频率。其次,在规模和频率之间的法律之后计算了对小波变换的适当规模。第三,将运行具有比例的小波变换。结果,在小波系数中可以识别缺陷的回波。最后,通过代码ANSYS模拟损坏管道中的引导波的传播,并且信号处理由代码MATLAB进行操作。还讨论了不同的小波函数,旨在瞄准去除的品质。信噪比(SNR)用于评估不同小波的质量。可以得出结论,Morlet小波适用于通过汉宁窗口通过正弦信号调制激发的超声检查信号。

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