DocumentCode
2053060
Title
Profiling the power usage of industrial machinery by ANN
Author
Ierace, Stefano ; Marinaro, Pasquale ; Tatavitto, Pasquale ; Troiano, Luigi
Author_Institution
Dept. of Ind. Eng., Univ. of Bergamo, Bergamo, Italy
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
413
Lastpage
418
Abstract
Neural networks can provide an effective way for profiling a plant, if conditions are accurately sampled and data properly collected. In this paper we investigate such an approach, considering a textile finishing machinery named rameuse as experimental context.
Keywords
finishing machines; neural nets; production engineering computing; textile machinery; artificial neural networks; industrial machinery; plant profiling; power usage; rameuse; textile finishing machinery; Absorption; Artificial neural networks; Fabrics; Lubrication; Machinery; Maintenance engineering; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
Conference_Location
Paris
Print_ISBN
978-1-4244-7897-2
Type
conf
DOI
10.1109/SOCPAR.2010.5686621
Filename
5686621
Link To Document