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    Volume 40, Issue 6 (November 2017)

    Estimation of Damage Location of Rock Based on Denoised Acoustic Emission Signals Using Wavelet Packet Algorithm

    (Received 20 January 2017; accepted 8 May 2017)

    Published Online: 2017

    CODEN: GTJODJ

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    Abstract

    The damage source location of acoustic emission (AE) signals is studied in this investigation. Noises can influence the accuracy of calculation significantly as the compressive wave velocity in rock is very fast. A novel fractional power model is proposed for use in wavelet packet transform analysis to decompose, filter, and reconstruct AE signals. Analysis of uniaxial compression testing data on sandstone samples has revealed that the denoising scheme can result in a higher signal to noise ratio (SNR) and a lower root mean square error (RMSE) compared with the conventional soft and hard thresholding functions. The arrival time of AE signals needs to be determined to perform the time difference of arrival (TDOA) analysis. A combined maximum likelihood estimation and Akaike’s information criterion (MLE–AIC) approach is initially used to compute the arrival time. To locate the damage source, a combined least squares–particle swarm optimization (LSPSO) method is originally proposed, which can reduce the number of iterations compared to the conventional particle swarm optimization (PSO) analysis. Two techniques have been evaluated based on either a predefined wave velocity range or interval theory to improve the accuracy of damage source location. Simulated artificial signals and AE signals obtained from pencil-lead breakage tests and uniaxial compression tests are analyzed using the LSPSO algorithm. The comparison of located damage source obtained from the current approach and the PCI-2 AE system has demonstrated the efficacy of the proposed analysis scheme.

    Author Information:

    Kang, Yumei
    School of Resources and Civil Engineering, Northeastern University, Shenyang,

    Ni, Pengpeng
    School of Civil and Environmental Engineering, Nanyang Technological University, Singapore,

    Fu, Chuang
    School of Resources and Civil Engineering, Northeastern University, Shenyang,

    Zhang, Penghai
    School of Resources and Civil Engineering, Northeastern University, Shenyang,


    Stock #: GTJ20170029

    ISSN:0149-6115

    DOI: 10.1520/GTJ20170029

    Author
    Title Estimation of Damage Location of Rock Based on Denoised Acoustic Emission Signals Using Wavelet Packet Algorithm
    Symposium ,
    Committee D18