Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests

Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes. A rail inspection prototype based on these conce...

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Main Authors: Piervincenzo Rizzo, Marcello Cammarata, Ivan Bartoli, Francesco Lanza di Scalea, Salvatore Salamone, Stefano Coccia, Robert Phillips
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2010/291293
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author Piervincenzo Rizzo
Marcello Cammarata
Ivan Bartoli
Francesco Lanza di Scalea
Salvatore Salamone
Stefano Coccia
Robert Phillips
author_facet Piervincenzo Rizzo
Marcello Cammarata
Ivan Bartoli
Francesco Lanza di Scalea
Salvatore Salamone
Stefano Coccia
Robert Phillips
author_sort Piervincenzo Rizzo
collection DOAJ
description Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes. A rail inspection prototype based on these concepts and devoted to the automatic damage detection of defects in rail head is the focus of this paper. The prototype includes an algorithm based on wavelet transform and outlier analysis. The discrete wavelet transform is utilized to denoise ultrasonic signals and to generate a set of relevant damage sensitive data. These data are combined into a damage index vector fed to an unsupervised learning algorithm based on outlier analysis that determines the anomalous conditions of the rail. The first part of the paper shows the prototype in action on a railroad track mock-up built at the University of California, San Diego. The mock-up contained surface and internal defects. The results from three experiments are presented. The importance of feature selection to maximize the sensitivity of the inspection system is demonstrated here. The second part of the paper shows the results of field testing conducted in south east Pennsylvania under the auspices of the U.S. Federal Railroad Administration.
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institution Kabale University
issn 1687-8086
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language English
publishDate 2010-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-35724295a0a24eb9ad754baef1c9d3eb2025-02-03T05:46:36ZengWileyAdvances in Civil Engineering1687-80861687-80942010-01-01201010.1155/2010/291293291293Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field TestsPiervincenzo Rizzo0Marcello Cammarata1Ivan Bartoli2Francesco Lanza di Scalea3Salvatore Salamone4Stefano Coccia5Robert Phillips6Department of Civil and Environmental Engineering, University of Pittsburgh, 949 Benedum Hall, 3700 O'Hara Street, Pittsburgh, PA 15261, USADepartment of Civil and Environmental Engineering, University of Pittsburgh, 949 Benedum Hall, 3700 O'Hara Street, Pittsburgh, PA 15261, USANDE and Structural Health Monitoring Laboratory, Department of Structural Engineering, University of California, San Diego 9500 Gilman Drive, M.C. 0085, La Jolla, CA 92093-0085, USANDE and Structural Health Monitoring Laboratory, Department of Structural Engineering, University of California, San Diego 9500 Gilman Drive, M.C. 0085, La Jolla, CA 92093-0085, USANDE and Structural Health Monitoring Laboratory, Department of Structural Engineering, University of California, San Diego 9500 Gilman Drive, M.C. 0085, La Jolla, CA 92093-0085, USANDE and Structural Health Monitoring Laboratory, Department of Structural Engineering, University of California, San Diego 9500 Gilman Drive, M.C. 0085, La Jolla, CA 92093-0085, USANDE and Structural Health Monitoring Laboratory, Department of Structural Engineering, University of California, San Diego 9500 Gilman Drive, M.C. 0085, La Jolla, CA 92093-0085, USARecent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes. A rail inspection prototype based on these concepts and devoted to the automatic damage detection of defects in rail head is the focus of this paper. The prototype includes an algorithm based on wavelet transform and outlier analysis. The discrete wavelet transform is utilized to denoise ultrasonic signals and to generate a set of relevant damage sensitive data. These data are combined into a damage index vector fed to an unsupervised learning algorithm based on outlier analysis that determines the anomalous conditions of the rail. The first part of the paper shows the prototype in action on a railroad track mock-up built at the University of California, San Diego. The mock-up contained surface and internal defects. The results from three experiments are presented. The importance of feature selection to maximize the sensitivity of the inspection system is demonstrated here. The second part of the paper shows the results of field testing conducted in south east Pennsylvania under the auspices of the U.S. Federal Railroad Administration.http://dx.doi.org/10.1155/2010/291293
spellingShingle Piervincenzo Rizzo
Marcello Cammarata
Ivan Bartoli
Francesco Lanza di Scalea
Salvatore Salamone
Stefano Coccia
Robert Phillips
Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests
Advances in Civil Engineering
title Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests
title_full Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests
title_fullStr Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests
title_full_unstemmed Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests
title_short Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests
title_sort ultrasonic guided waves based monitoring of rail head laboratory and field tests
url http://dx.doi.org/10.1155/2010/291293
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AT francescolanzadiscalea ultrasonicguidedwavesbasedmonitoringofrailheadlaboratoryandfieldtests
AT salvatoresalamone ultrasonicguidedwavesbasedmonitoringofrailheadlaboratoryandfieldtests
AT stefanococcia ultrasonicguidedwavesbasedmonitoringofrailheadlaboratoryandfieldtests
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