Denoising Algorithm Based on Correlation of Inter Scales Wavelet Coefficient for Damage Signal of Wire Rope

Article Preview

Abstract:

In order to remove noise in the broken wire signal of wire rope, a new denoising algorithm based on the correlation of inter scales wavelet coefficient was proposed. Because the wavelet coefficient of signal has strong correlation and the wavelet coefficient of noise does not has obvious correlation, in the process of calculating threshold, an inter scales correlation factor was constructed considering the part specialty of next scale on the same position after wavelet transform. The proposed factor can adaptively adjust threshold on the position of signal and noise, thereby otaining good denoising effect and holding the break information in original signal. The actual processing effect of simulation and damage signal of wire rope shows that the proposed method, compared with the classical threshold, not only effectively removes noise in original signal and improve the signal noise ratio(SNR),but also retains the break information of inspected damage signal of wire rope.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 328-330)

Pages:

2027-2031

Citation:

Online since:

September 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Song and D.L. Zhang. Nondestructive Testing (in chinese), 1999, 21(5): 220-222.

Google Scholar

[2] D. I. Donoho, I. M. Johnstone and G. Kerkyacharian, et a1. Journal of Royal Statistics Society Series, 1995, 57: 301-369.

Google Scholar

[3] B. Vidakovic. Wiley Series in Probability and Statistics. John Wiley& Sons, Inc, (1999).

Google Scholar

[4] L. Juan and P. Moulin. IEEE Transactions on Image Processing, 2001, (11): 1647-1658.

Google Scholar

[5] T. Blu and F. Luisier. IEEE Transactions on Image Processing, July (2007).

Google Scholar

[6] Y.K. Sun. Wavelet Analysis and Application(in chinese). (Machine Press, China 2005).

Google Scholar

[7] S. Mallat and W.L. Hwang. IEEE Trans. Information Theory, 1992, 38(2): 617-643.

Google Scholar

[8] Z.N. Li and Z.Z. Luo. Chinese Journal of Electronics, 2007, 35(7): l413-l418.

Google Scholar