DocumentCode
2469725
Title
2D-6 Automatic Detection of High Temperature Hydrogen Attack Defects from Ultrasonic A-Scan Signals
Author
Yamani, Ahmed ; Deriche, M.
Author_Institution
King Fahd Univ. of Pet. & Miner., Dhahran
fYear
2007
fDate
28-31 Oct. 2007
Firstpage
58
Lastpage
61
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.
Keywords
acoustic signal processing; inspection; ultrasonic materials testing; automatic defect detection; feature extraction method; high temperature hydrogen attack defects; nondestructive testing; out-of-service pressure vessel; ultrasonic A-scan signals; Clustering algorithms; Costs; Feature extraction; Hydrogen; Inspection; Signal processing algorithms; Spatial databases; Steel; Temperature; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 2007. IEEE
Conference_Location
New York, NY
ISSN
1051-0117
Print_ISBN
978-1-4244-1384-3
Electronic_ISBN
1051-0117
Type
conf
DOI
10.1109/ULTSYM.2007.28
Filename
4409601
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