Application of Wavelet Threshold De-Noising Method in Electromagnetic Ultrasonic Signal Processing

Article Preview

Abstract:

In order to solve the problem of containing noise in echo signal detected by electromagnetic ultrasonic metal plate thickness, wavelet threshold method was used for de-noising. First to choose the wavelet function and decomposition scale to decompose the echo signal, then structure threshold rules by the weighted average method and dispose the wavelet coefficient obtained by decomposition, reconstruction signal. De-noising signal acquired by MATLAB simulation had obvious effect and SNR was 9.4441, RMSE was 0.2. Experimental results show that wavelet threshold value method can effectively inhibit noise doped echo signal and improve electromagnetic ultrasonic detection accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

994-999

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] V.G. Kurbatskii, D.N. Sidorov, V.A. Spiryaev, and N.V. Tomin. On the neural network approach for forecas ting of nonstationary time series on the basis of the Hilbert–Huang transform, System Analysis and Operations Research. 7 (2011) 58-68.

DOI: 10.1134/s0005117911070083

Google Scholar

[2] Tang Chunju, Liu Yanping. Application of Hilbert-Huang transform in digital ultrasonic detection signal analysis, Acoustics and Electronics Engineering. 2 (2011) 21-24.

Google Scholar

[3] Donoho. De-noising by soft-thresholding, IEEE Trans on Information Theory. 41 (1995) 613-627.

DOI: 10.1109/18.382009

Google Scholar

[4] Tang Guiji, Chai Wei, Hu Aijun, Zhang Xingjuan and Yang Yanxia. Application of translation invariant wavelet threshold denoising method in vibration signal processing of gears, Noise and Vibration control. 6 (2008) 17-19.

Google Scholar

[5] Tian Yanyan, Qi Guoqing. Edge detection method based on wavelet transform modulus maxima, Journal of Dalian Maritime University. 1 (2007) 102-106.

Google Scholar

[6] Li Shuyu. Improved wavelet threshold denoising method and its simulation using MATLAB, Nose and Vibration control. 2 (2010) 121-124.

Google Scholar

[7] Li Jianping, Tang Yuanyan. The application of the wavelet analysis method, Chongqing-Publishing, Chong Qing. 2000, pp.91-108.

Google Scholar