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Artificial neural networks for feature extraction from acoustic emission signals

โœ Scribed by Szyszko, S.; Payne, P.A.


Book ID
121963932
Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
171 KB
Volume
25
Category
Article
ISSN
0963-8695

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TOOL WEAR PREDICTION FROM ACOUSTIC EMISS
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We examine the application of an arti"cial neural network to classi"cation of tool wear states in face milling. The input features were derived from measurements of acoustic emission during machining and topography of the machined surfaces. Five input features were applied to the back-propagating ne