TY - JOUR
T1 - Blind multiridge detection for autmatic nondestructive testing using ultrasonic signals
AU - Wu, Hsiao Chun
AU - Gupta, Nikhil
AU - Mylavarapu, Phani S.
N1 - Funding Information:
This research work has been partially supported by Research Enhancement Grant, Louisiana Space Consortium, Louisiana Board of Regents. The authors are very grateful to Professor Rene A. Carmona in Princeton University and Professor Bruno Torresani in CPT, CNRS-Luminy, for their precious advice and sharing their source codes with our group.
PY - 2006/10
Y1 - 2006/10
N2 - Ultrasonic imaging has been a significant means for nondestructive testing (NDT). Recently the NDT techniques via the ultrasonic instrumentation have shown the striking capability of the quality control for the material fabrication industry. To the best of our knowledge, all existing signal processing methods require either the a priori information of the ultrasonic signature signals or the manual segmentation operation to achieve the reliable parameters that characterize the corresponding mechanical properties. In this paper, we first provide a general mathematical model for the ultrasonic signals collected by the pulse-echo sensors, then design a totally blind novel signal processing NDT technique relying on neither a priori signal information nor any manual effort. Based on the automatic selection of optimal frame sizes using a proposed new criterion in our scheme, the signature signal can be blindly extracted for further robust multiridge detection. The detected ridge information can be used to estimate the transmission and attenuation coefficients associated with any arbitrary material sample for the fabrication quality control.
AB - Ultrasonic imaging has been a significant means for nondestructive testing (NDT). Recently the NDT techniques via the ultrasonic instrumentation have shown the striking capability of the quality control for the material fabrication industry. To the best of our knowledge, all existing signal processing methods require either the a priori information of the ultrasonic signature signals or the manual segmentation operation to achieve the reliable parameters that characterize the corresponding mechanical properties. In this paper, we first provide a general mathematical model for the ultrasonic signals collected by the pulse-echo sensors, then design a totally blind novel signal processing NDT technique relying on neither a priori signal information nor any manual effort. Based on the automatic selection of optimal frame sizes using a proposed new criterion in our scheme, the signature signal can be blindly extracted for further robust multiridge detection. The detected ridge information can be used to estimate the transmission and attenuation coefficients associated with any arbitrary material sample for the fabrication quality control.
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U2 - 10.1109/TUFFC.2006.123
DO - 10.1109/TUFFC.2006.123
M3 - Article
C2 - 17036799
AN - SCOPUS:33845600460
SN - 0885-3010
VL - 53
SP - 1902
EP - 1911
JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
IS - 10
ER -