An Adaptive Wavelet Library to Detect Surface Defects in Rail Tracks Using a Laser Ultrasonic System

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 publicationEuropean Workshop on Structural Health Monitoring
Subtitle of host publicationSpecial Collection of 2020 Papers
EditorsPiervincenzo Rizzo, Alberto Milazzo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages181-189
Number of pages9
Volume1
ISBN (Electronic)978-3-030-64594-6
ISBN (Print)978-3-030-64593-9
Publication statusPublished - 2021

Publication series

NameLecture Notes in Civil Engineering
Volume127
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

TitleEuropean Workshop on Structural Health Monitoring, EWSHM 2020
Period6 - 9 July 2020

Abstract

This study is concerned with locating surface defects that occur in rail tracks. Ultrasonic Rayleigh waves were used to investigate the rail track surface. To generate and sense these waves a fully non-contact laser ultrasonic transduction system was employed. The laser-generated signals are in general more susceptible to environmental noise in comparison with signals generated by other methods. Meanwhile, the quality of signals received from one point may vary in each time of measurement. Continues Wavelet Transform (CWT) is a practical tool in dealing with complicated signals. In this regard, CWT works better if its mother wavelet is carefully selected based on the nature of the analyzing signal. Seeing that, a library of mother wavelets was tailor-made for studying laser-based Rayleigh waves in rail tracks. Mother wavelets were designed based on characteristics of the incident wave packets after extensive measurements on rail tracks. For analyzing a signal, initially, the first biggest wave packet that is the incident wave is recognized. Absolute cross-correlation is then used to pick a mother wavelet from the library that has the maximum resemblance with the incident wave. Using such an approach, the irrelevant wave packets can be easily discarded and surface defects are exposed.

Research Area(s)

  • Laser Ultrasonic, guided waves, Rayleigh waves, Wavelet, Rail Tracks, Signal Processing

Citation Format(s)

An Adaptive Wavelet Library to Detect Surface Defects in Rail Tracks Using a Laser Ultrasonic System. / Rostami, Javad; Masurkar, Faeez; Tse, Peter; Yelve, Nitesh; Hou, Edison Z. Y.

European Workshop on Structural Health Monitoring: Special Collection of 2020 Papers. ed. / Piervincenzo Rizzo; Alberto Milazzo. Vol. 1 Springer Science and Business Media Deutschland GmbH, 2021. p. 181-189 (Lecture Notes in Civil Engineering; Vol. 127).

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