The EMD Analysis AE Signals of Rock Failure under Uniaxial Compression

Abstract:

The wavelet packet basis is difficult to be extracted by wavelet analysis at present. To solve this problem, an experiment of Acoustic Emission under uniaxial compression is conducted by SAEU2S acoustic Emission system and Electro-hydraulic servo universal testing machine and the method of empirical mode analysis is adopted to explore the acoustic emission signal in this paper. Firstly with the method of empirical mode decomposition, the acoustic emission signal is decomposed into the forms of intrinsic mode function with several local time scale and residual components, and then these data is analyzed. After the noise-reducing IMF and residual components are refactored, the error between the final and the initial reconstruction signals is less than 10^-6. The experiment indicates that the EMD method is effective in processing the local rock acoustic emission signals. The EMD method also provides an efficient way to predict deformation trend of rock damage through deformation of waveform analysis.

• Periodical: Applied Mechanics and Materials (Volumes 571-572)
• Pages: 845-852
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.571-572.845
• Online since: June 2014
• Authors: Tian Jun Zhang, Sheng Hong Yu, Jin Hu Ren, Wei Cui
• Keywords: Acoustic Emission Signal, Empirical Mode Decomposition (EMD), Signal Processing, Uniaxial Compression

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