Ultrasonic testing with advanced signal processing for concrete structures

2005 ◽  
Vol 20 (2) ◽  
pp. 115-124 ◽  
Author(s):  
Hiroaki Hatanaka ◽  
Yutaka Kawano ◽  
Nobukazu Ido ◽  
Masahiro Hato ◽  
Minoru Tagami
2013 ◽  
Vol 712-715 ◽  
pp. 2069-2075
Author(s):  
Chun An Ai ◽  
Qiao Wang ◽  
Zhi Gao Xu

The development of signal processing technology not only improves the reliability of qualitative and quantitative ultrasound detection, but also promotes the sensitivity and precision. This paper introduces the new progress of signal processing technology in application of Ultrasonic Nondestructive Testing, including the basic principle, characteristic and localization of Wavelet Transform, Adaptive Filter Technique, Artificial Neural Network and Support Vector Machine application in Ultrasonic Testing, and the trend of development in the future.


2014 ◽  
Vol 1040 ◽  
pp. 933-936 ◽  
Author(s):  
Michael Kroening ◽  
Yana Salchak ◽  
Dmitriy A. Sednev

In present paper, possibilities for identification and verification of closure welds were discussed. It might be applied for nonproliferation purposes, where validity and reliability of verification are often crucial issue. Methodology of ultrasonic testing and signal processing procedure were proposed. Through set of experiments, the validity of proposed solution was approved.


2019 ◽  
Vol 255 ◽  
pp. 06006 ◽  
Author(s):  
M. S. M Naqiuddin ◽  
M. Salman Leong ◽  
L. M. Hee ◽  
M. A. M. Azrieasrie

Monitoring pipeline wall is an important issue in oil and gas industries. Over time, the defect can occur in the pipeline and can impact surrounding population, environment and may result in injuries or fatalities. While flaws in the pipeline could be detected by ultrasonic testing and monitoring the severity of the flaw. The limitation of ultrasonic testing is the signal contaminate with backscattering noise, which masks flaw echoes in the measured signal. Signal processing take place in the recent year to de-noising for improving signal-to-noise ratio and extract the feature for flaws classification. This paper presents a comprehensive overview of signal processing techniques used to improve ultrasonic detection method with and without intelligent classifier. Finally, the advantages and disadvantages feature extraction provided for classifications process.


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