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.


  • 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

Filing Info

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