DocumentCode
281509
Title
The classification of defects from ultrasonic measurements
Author
Windsor, C.G.
Author_Institution
Div. of Mater. Phys. & Metall., Harwell Lab., Didcot, UK
fYear
1989
fDate
32542
Abstract
Both Rumelhart and Hopfield algorithms have been used in the classification of the nature of the defects found in steel pressure vessels. Ultrasonic reflections from such defects show only minor feature differences so that classification is difficult. Both neural-network algorithms performed as well as weighted minimum distance algorithms
Keywords
computerised signal processing; neural nets; pattern recognition; steel; ultrasonic materials testing; Hopfield algorithms; NDT; Rumelhart; US reflections; classification of defects; computerised signal processing; neural-network algorithms; pattern recognition; steel pressure vessels; ultrasonic measurements;
fLanguage
English
Publisher
iet
Conference_Titel
Expert Systems for NDT, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
197834
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