JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN
Online ISSN : 1884-4758
Print ISSN : 0388-3051
ISSN-L : 0388-3051
Shear Condition Diagnostic Technology Applying Neural Network
Kenji Matate
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1994 Volume 29 Issue 10 Pages 741-745

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Abstract

Searing machine for sheet is demanded for high accuracy on shearing size and form. So it's i mportant to find crack and bad sharpness of knife as soon as possible. Traditionally operators have caught cracks and bad sharpness of knife on trouble by their feeling so there are many errors and oversight that cause defect. This report shows shear condition diagnostic technology applying neural network for finding crack and bad sharpness of knife.

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