Experimental Signal Deconvolution in Acoustic Emission Identification Setup

Identification of acoustic sources is a great deal and the most important problem emerging in biomedical applications and nondestructive testing. We present the basics of time reversal Acoustic Emission (AE) principle and point out the advantages of AE nondestructive testing for localization and classification of acoustic sources. This approach provides the tool for the defect localization by means of the reversal wave focusing in nonlinearity position in the material under consideration. Also, using TR operator to AE signal, we obtain convolutional signal in the closest neighborhood of acoustic source, which gives us the pure image of the real characteristics of AE source after deconvolution process applied to the signals detected. We describe the mathematical background for backside deconvolution through the Green functions. Further, we design the laboratory settings realizing experiments for AE signal deconvolution of the reversed signals measured by the laser beam device centering to the position of the defect. Finally, we apply the recently developed classification methods to these signals.