The Research of the Spectral Features of Vibration Signals from Underground Railway Based on Wavelet Transform

Zhi Gang Yin

doi:10.4028/www.scientific.net/AMR.243-249.3463

Paper Titles

Experimental Study of Environmental Noise from Metro Train
p.3440

Study on Underground Utilities Settlement during the Construction of Shield Tunnel
p.3445

The Method of Optimizing Blasting Parameters for Driving Tunnel Based on the Outcome Analyses
p.3449

Moving Model Test of Express Container Car Passing through a Tunnel
p.3456

The Research of the Spectral Features of Vibration Signals from Underground Railway Based on Wavelet Transform
p.3463

The Study on the Construction Mechanical Behavior of the Shield Tunnel Crossing the Ultra-Deep Ventilation Shaft
p.3468

Study on the Construction Mechanic Behaviors of Different Cross-Section Shape Connected Aisle in the Shield Tunnel with High Hydraulic Pressure
p.3472

The Model Test Study on Frost Heaving and Melting Sedimentation of Subway Tunnel Construction with Manual Level Freezing Method
p.3476

Study on Construction Technology for Urban Tunnel Closely Passing beneath Existing Building
p.3484

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 243-249The Research of the Spectral Features of Vibration...

The Research of the Spectral Features of Vibration Signals from Underground Railway Based on Wavelet Transform

Abstract:

Using wavelet transform, signal’s frequency properties of vibration induced by underground are analyzed A MATLAB program is developed in order to decompose and reconstruct acceleration signals. The law that acceleration signals change in time-spectral domain is got. Then the relations of vibration signal’s maximum acceleration, energy, frequency and spectral are discussed. In contrast to conventional Fourier Transform， wavelet analysis can provide the evolution of spectral features of a signal as this evolves in time. It is ideal for random and non-stationary signal analysis.

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Periodical:

Advanced Materials Research (Volumes 243-249)

Pages:

3463-3467

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.243-249.3463

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Online since:

May 2011

Authors:

Zhi Gang Yin

Keywords:

Acceleration, Fourier Transform, Wavelet Transform (WT)

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