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
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;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7897-2
DOI :
10.1109/SOCPAR.2010.5686621
