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Automatic detection of high temperature hydrogen attack defects from ultrasonic A-scan signals

  • King Fahd University of Petroleum and Minerals

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, an out-of-service pressure vessel known to have lots of high temperature hydrogen attach (HTHA) defects is used to develop in a cost effective manner a database of ultrasonic A-scan signals of this defect. Basic feature extraction method, coupled with traditional classifiers is shown to distinguish accurately the hydrogen attack defects from geometrically similar defects.

Original languageEnglish
Title of host publication2007 IEEE Ultrasonics Symposium Proceedings, IUS
Pages58-61
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE Ultrasonics Symposium, IUS - New York, NY, United States
Duration: 28 Oct 200731 Oct 2007

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117

Conference

Conference2007 IEEE Ultrasonics Symposium, IUS
Country/TerritoryUnited States
CityNew York, NY
Period28/10/0731/10/07

Keywords

  • Classification
  • Feature extraction
  • Hydrogen attack
  • Nondestructive testing
  • Signal processing
  • Ultrasonic A-scan database

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