The Research on the Recognition Technique of Rock AE and Noise Signal

Jian Ping He; Ning Wang

doi:10.4028/www.scientific.net/AMR.168-170.293

Paper Titles

Elaborate Simulation Method for the Influence of Soil Excavation of Shield Tunnels on Existing Pile Foundations
p.270

Research on Expanded Polystyrene Light-aggregate Concrete
p.276

Influence of Mineral Admixtures on Mortar Brittleness
p.281

Experimental Research on Dynamic Poisson’s Ratio of Silty Clay
p.286

The Research on the Recognition Technique of Rock AE and Noise Signal
p.293

Simplified Computation of 1D Consolidation for Unsaturated Soil when Air Phase Neglected
p.298

Experimental Study on Mechanical Properties of Rock Pile
p.303

Determination of Sulfate Concentration of Soil Used for Assessment of the Sulfate Attack to Concrete
p.307

The Spring Rigidity Values Analysis in Incremental Method of Deep Excavation with Considering Interaction among Soil Springs
p.312

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 168-170The Research on the Recognition Technique of Rock...

The Research on the Recognition Technique of Rock AE and Noise Signal

Abstract:

AE signal waveform Envelope is damped oscillation process, its maximum amplitude descending edge Envelope is exponential rule decay oscillation process ，others noises higher than oscillation delay. The thesis analysis rock AE and noise signal in the mine，on the basis of Fourier transform spectral analysis to found the noise spectrum characteristics, setting up noise database, according to the site data acquisition rock AE and environmental noise signal, with its characters spectral data to wavelet multi-scale decomposed，supplemented by Fourier transform spectral analysis, basing on noise spectral characters, some scale of wavelet decomposition is mulled, the signal of wave coefficient of the approximation elements reconstructed， eliminating disturbance and noise, showing real rock sounds. Results demonstrate that the recognition technique can advance effective data reliability and data analysis precision, making reality significant for monitoring and prediction on rock crack regular and development orientation.

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Periodical:

Advanced Materials Research (Volumes 168-170)

Pages:

293-297

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.168-170.293

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Online since:

December 2010

Authors:

Jian Ping He, Ning Wang

Keywords:

Acoustic Emission (AE), Noise, Recognition, Spectrum, Wavelet Analysis

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