Effect of sampling rates on the accuracy of acoustic-laser technique in defect detection and upsampling using machine learning

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV
EditorsTzu-Yang Yu, Andrew L. Gyekenyesi
PublisherSPIE
ISBN (Electronic)9781510640146
ISBN (Print)9781510640139
Publication statusPublished - 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11592
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

TitleNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV 2021
LocationOnline
PlaceUnited States
Period22 - 26 March 2021

Abstract

As a non-destructive testing (NDT) method, the acoustic-laser technique has demonstrated its effectiveness in defect detection of composite systems. The technique is particularly useful for the detection of near-surface defects in fiber reinforced polymer bonded concrete by vibrating the material with an acoustic excitation and measuring the vibration signals with a laser beam. However, same as the other vibration-based measurement methods, the accuracy of acoustic-laser technique is sensitive towards sampling rate during the measurements. The sampling rate of acoustic-laser measurement adopted in previous studies is as high as 50000 Hz to assure the accuracy of measurement. However, such high sampling rate cannot always be guaranteed due to the limitation of data acquisition system, or any missing data generated during the measurement. In this study, the effect of sampling rates on the accuracy of acoustic-laser technique is investigated through the experimental study. Six sampling rates, i.e. 10 Hz, 100 Hz, 1000 Hz, 10000 Hz, 25000 Hz, and 50000 Hz, are adopted to measure the FRP bonded system with an interfacial defect, in order to study the relationship between the sampling rate and measurement accuracy. Moreover, an upsampling method using machine learning is proposed in this study, in order to reconstruct the missing data to the target sampling rate, so that the accuracy of the detection can be improved from low sampling rate measurement with missing data.

Research Area(s)

  • Acoustic-laser technique, Data reconstruction, Defect detection, FRP

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Effect of sampling rates on the accuracy of acoustic-laser technique in defect detection and upsampling using machine learning. / Qin, Renyuan; Lau, Denvid.

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV. ed. / Tzu-Yang Yu; Andrew L. Gyekenyesi. SPIE, 2021. 115920G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11592).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review