Axial defect imaging in a pipe using synthetically focused guided waves

2011 ◽  
Vol 17 (1) ◽  
pp. 66 ◽  
Author(s):  
M Ratassepp ◽  
S Fletcher ◽  
A Klauson
Keyword(s):  
Guided Waves ◽  
Defect Imaging ◽  
Axial Defect

Sparsity based defect imaging in pipes using guided waves

2016 ◽  
Author(s):  
Andrew Golato ◽  
Sridhar Santhanam ◽  
Fauzia Ahmad ◽  
Moeness G. Amin
Keyword(s):  
Guided Waves ◽  
Defect Imaging

scholarly journals Defect Imaging with Guided Waves Propagating in a Long Range

2006 ◽  
Vol 72 (724) ◽  
pp. 1941-1948 ◽  
Author(s):  
Takahiro HAYASHI ◽  
Masahiro NAGAO ◽  
Morimasa MURASE
Keyword(s):  
Long Range ◽  
Guided Waves ◽  
Defect Imaging

scholarly journals Defect imaging with guided waves in a pipe

2005 ◽  
Vol 117 (4) ◽  
pp. 2134-2140 ◽  
Author(s):  
Takahiro Hayashi ◽  
Morimasa Murase
Keyword(s):  
Guided Waves ◽  
Defect Imaging

scholarly journals Defect Imaging on CFRP and Honeycomb Composite Structures by Guided Waves Generated and Detected by a Sparse PZT Array

2017 ◽  
Author(s):  
ANDRII KULAKOVSKYI ◽  
BASTIEN CHAPUIS ◽  
OLIVIER MESNIL ◽  
NAS-REDINE BEDREDDINE ◽  
OSCAR D’ALMEIDA ◽  
...  
Keyword(s):  
Composite Structures ◽  
Guided Waves ◽  
Defect Imaging

scholarly journals Defect imaging for pipeworks with guided waves

2004 ◽  
Vol 2004.12 (0) ◽  
pp. 371-372
Author(s):  
Takahiro HAYASHI ◽  
Morimasa Murase
Keyword(s):  
Guided Waves ◽  
Defect Imaging

scholarly journals Defect imaging with guided waves propagating in a long range

2008 ◽  
Vol 2 (7) ◽  
pp. 888-899 ◽  
Author(s):  
Takahiro HAYASHI ◽  
Masahiro NAGAO ◽  
Morimasa MURASE
Keyword(s):  
Long Range ◽  
Guided Waves ◽  
Defect Imaging

High Resolution Defect Imaging in Guided Waves Inspections by Dispersion Compensation and Nonlinear Data Fusion

2017 ◽  
Vol 103 (6) ◽  
pp. 941-949 ◽  
Author(s):  
Jochen Moll ◽  
Luca De Marchi ◽  
Christian Kexel ◽  
Alessandro Marzani
Keyword(s):  
High Resolution ◽  
Data Fusion ◽  
Guided Waves ◽  
Dispersion Compensation ◽  
Defect Imaging

Defect Imaging Using Time Reversal Guided Waves in Pipes

2012 ◽  
Vol 188 ◽  
pp. 283-286 ◽  
Author(s):  
Fei Deng
Keyword(s):  
Numerical Simulation ◽  
Time Reversal ◽  
Guided Waves ◽  
Guided Wave ◽  
Imaging Method ◽  
Subtraction Method ◽  
Rectangular Window ◽  
Baseline Subtraction ◽  
Simulation Results ◽  
Defect Imaging

In order to realize defect imaging for guided waves inspection in a pipe, a time reversal method based on baseline subtraction method was introduced. In this method, baseline signals were prepared by detection on undamaged pipe. After that residual signals were obtained by executing subtraction between inspection signals and baseline signals. At last, without using the rectangular window for signal interception, time reversals signals are produced by time reversing the whole residual signals. Experiment and numerical simulation results show that this method simplifies the existing time reversal defect imaging method for guided wave inspection in pipes. Especially, a relatively whole defect’s passive wave field captured by this method will help us to achieve better imaging effect.

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