Analysis of Tunnel Monitoring Results Based on the Modulus Maxima Method of Wavelet Transform

In recent years, the theory and method of wavelet analysis has been widely used in signal processing, pattern recognition, data compression, image processing, and quantum physics. In order to compare with modulus maxima, wavelet packet decomposition and coefficient shrinkage de-noising method of wavelet transform are presented, their advantages and disadvantages are analysed and summarized, and their respective scopes are obtained. The Noissin chosen as the original signal with noise is analysed and de-noised by the modulus maxima method of wavelet transform. Meanwhile the usage conditions and key computing parameters are also obtained. Finally, the modulus maxima method of wavelet transform is successfully adopted to de-noise the monitoring results of a shield tunnel. The revised data are reliably provided for tunnel health diagnosis.

Record URL:
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784480038
Supplemental Notes:
- © 2016 American Society of Civil Engineers.
Corporate Authors:
American Society of Civil Engineers

1801 Alexander Bell Drive
Reston, VA United States 20191-4400
Authors:
- Kong, Xiangxing
Conference:
- Fourth Geo-China International Conference
- Location: Shandong , China
- Date: 2016-7-25 to 2016-7-27
Publication Date: 2016

Language

English

Media Info

Media Type: Digital/other
Features: Figures; References;
Pagination: pp 34-39
Monograph Title: Geo-China 2016: Emerging Technologies in Tunnel Engineering, Modeling, Design, Construction, Repair, and Rehabilitation

Subject/Index Terms

TRT Terms: Modulus; Shields (Tunnels); Structural health monitoring; Transforms (Integral operators); Tunnels; Wavelets
Subject Areas: Bridges and other structures; Maintenance and Preservation; Planning and Forecasting;

Filing Info

Accession Number: 01608902
Record Type: Publication
ISBN: 9780784480038
Files: TRIS, ASCE
Created Date: Jul 21 2016 3:04PM