APPLICATION OF TIME-REVERSAL METHOD USING TOPOLOGICAL SENSITIVITY FOR DEFECT DETECTION TO ULTRASONIC PHASED ARRAY TESTING

2018 ◽  
Vol 74 (2) ◽  
pp. I_85-I_93
Author(s):  
Hikaru MORIKAWA ◽  
Takahiro SAITOH ◽  
Kazushi KIMOTO
Keyword(s):  
Defect Detection ◽  
Time Reversal ◽  
Phased Array ◽  
Topological Sensitivity ◽  
Ultrasonic Phased Array ◽  
Array Testing

Compressive sensing of phased array ultrasonic signal in defect detection: Simulation study and experimental verification

2017 ◽  
Vol 17 (3) ◽  
pp. 434-449 ◽  
Author(s):  
Zhiliang Bai ◽  
Shili Chen ◽  
Qiyang Xiao ◽  
Lecheng Jia ◽  
Yanbo Zhao ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Defect Detection ◽  
Phased Array ◽  
Electrical Discharge Machining ◽  
Optimal Algorithm ◽  
Greedy Algorithms ◽  
Sampling Rate ◽  
Discrete Wavelet ◽  
Reconstruction Performance ◽  
Ultrasonic Phased Array

Ultrasonic phased array techniques are widely used for defect detection in structural health monitoring field. The increase in the element number, however, leads to larger amounts of data acquired and processed. Recently developed compressive sensing states that sparse signals may be accurately recovered from far fewer measurements, suggesting the possibility of breaking through the sampling limit of the Nyquist theorem. In light of this significant advantage, the novel use of the compressive sensing methodology for ultrasonic phased array in defect detection is proposed in this work. Based on CIVA software, we first present a simulated study on the effectiveness of the compressive sensing applied in ultrasonic phased array in defect detection through the average mean percent residual difference at varying compression rates. The results particularly show that the compressive sensing yields a breakthrough of the sampling limitation. We then experimentally demonstrate comparative analyses on the signals extracted from three types of artificial flaws (through-hole, flat-bottom hole, and electrical discharge machining notches) on two different specimens (made of aluminum and 20# steel). To find the optimal algorithm combination, the best sparse representation basis is chosen among fast Fourier transform, discrete cosine transform, and 34 wavelet kernels; the reconstruction performance is compared between five greedy algorithms; and the recovery accuracy is further improved via four sensing matrices selection. We also evaluate the influence of the sampling rate, and our results are comparable with the gold standard of signal compression, namely, the discrete wavelet transform.

Ultrasonic Phased Array Technique for Defect Detection and Sizing in Heavy-Walled Cast Components

2021 ◽  
Author(s):  
Md Shahjahan Hossain ◽  
Fadwa Dababneh ◽  
Russell Krenek ◽  
Hossein Taheri
Keyword(s):  
Defect Detection ◽  
Phased Array ◽  
Ultrasonic Phased Array

DGS curve evaluation applied to ultrasonic phased array testing

2010 ◽  
Vol 52 (4) ◽  
pp. 192-194 ◽  
Author(s):  
M Certo ◽  
G Nardoni ◽  
P Nardoni ◽  
M Feroldi ◽  
D Nardoni
Keyword(s):  
Phased Array ◽  
Ultrasonic Phased Array ◽  
Array Testing
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