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Author Feucht, P. ♦ Zoellner, J.M. ♦ Berns, K. ♦ Zirzlaff, T. ♦ Leisin, O.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Learning systems ♦ Spraying ♦ Painting ♦ Costs ♦ Sensor systems ♦ Control systems ♦ Production planning ♦ Manufacturing processes ♦ Assembly ♦ Lacquers
Abstract Because of the very high workpiece costs in manufacturing processes, production errors should be detected online in order to avoid a series of defective workpieces. This article describes a qualitative evaluation method for time series that is applied to the diagnosis of a procedure for spraying car body parts. The determination of the parameters for the procedure is gained through learning data, which simplifies the industrial use enormously. A prototype that is already employed in production confirms the expected functionality of the procedure.
Description Author affiliation: Forschungszentrum Inf., Karlsruhe Univ., Germany (Feucht, P.)
ISBN 0769509096
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-11-15
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 399.70 kB
Page Count 4
Starting Page 281
Ending Page 284


Source: IEEE Xplore Digital Library