• Vol 5, No 3 (2014)
  • Civil Engineering

Denoising Acoustic Emission Signal using Wavelet Transforms for Determining the Micro Crack Location Inside of Concrete

I Gede Pasek Suta Wijaya, Ni Nyoman Kencanawati


Cite this article as:
Wijaya, I.G.P.S., Kencanawati, N.N., 2014. Denoising Acoustic Emission Signal using Wavelet Transforms for Determining the Micro Crack Location Inside of Concrete. International Journal of Technology. Volume 5(3), pp. 259-268
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I Gede Pasek Suta Wijaya Informatics Engineering and Electrical Engineering Department, Faculty of Engineering, Mataram University, Jl. Majapahit 62, Mataram 83125, Indonesia
Ni Nyoman Kencanawati Civil Engineering Department, Faculty of Engineering, Mataram University, Jl. Majapahit 62, Mataram 83125, Indonesia
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Abstract
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Acoustic emission (AE) technique is developed to locate source of damage inside of concrete. However, the AE signal is interfered by much noise, which makes the determination of first time amplitude of AE signal is hard to be carried out. In fact, the determination of this parameter is a significant part for locating the source of damage in concrete. Therefore, one of the denoising methods called wavelet based denoising is proposed. In this case, some wavelet bases function are investigated to find out the proper wavelet bases function to perform the denoising of AE Signal. From the experimental data, the best wavelet basis function for this case is Coiflet, which is shown by providing the best SNR than the other wavelet families. In addition, the determining cracks locations on concrete can be performed easier on denoised AE signal than on noisy AE signal.

Acoustic emission signal, Damage concrete, Denoising, SNR, Wavelet