Application of Improved Threshold’s Lifting Wavelet to the Analysis of the Dam’s Displacement

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Abstract:

The series of dam’s deformation data can be seen as a string of digital signal, which is composed of different frequencies. Because of the high frequency noise in the noise information, a new method of improved threshold’s lifting wavelet function is demonstrated. Using this new method to abstract components of dam monitoring data. This new method can eliminate the defect existing in traditional threshold function during the denoising process. The example shows that the lifting wavelet based on improved threshold function is more accurate and objective in the process of abstracting component compared with the traditional wavelet , which is feasible to analyze the dam performance precisely and practically. Therefore, it plays a pivotal role in the analysis of the dam performance.

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1415-1419

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Z.R. WU: Safety Monitoring Theory & Its Application of Hydraulic Structures (Higher Education Press, China 2003) p.45. (In Chinese)

Google Scholar

[2] Z.K. Peng F.L. Chu.Application of the Wavelet Transform in Machine Condition Monitoring and Fault Diagnostics:A Review with Bibliography[J].Mechanical Systems and Signal Processing,2004,18:199-211.

DOI: 10.1016/s0888-3270(03)00075-x

Google Scholar

[3] L.Yue Q.G. Fei L.M. Zhang.Improvement Accuracy of System Dentification Based on Morlet Wavelet[J].Transactions of Nanjing University of Aeronautics&Astronautics,2005,22(3):206-211

Google Scholar

[4] D.F. ZHANG: The Analysis of Wavelet and Its Practical Application (National Defense Industry Press, China 2008). (In Chinese)

Google Scholar

[5] X.P. Liu, X.J. Zhang and Y.X. Yang: Machinery, Vol. 36 (2009) No.1, p.8 (In Chinese)

Google Scholar

[6] J.J. Jin, X. Wang, X. Wu and D. Yang: Journal of Northeastern University (Natural Science), Vol.30 (2009), No.3, p.334. (In Chinese)

Google Scholar

[7] H.L. Xu and D.D. Chu: Journal of China Three Gorges University (Natural Sciences), Vol.32 (2010), No.2, p.42. (In Chinese)

Google Scholar

[8] Q. Duan, F. Li and Z.L. Tian: Computer Simulation, Vol.26 (2009), No.4, p.348. (In Chinese)

Google Scholar