This paper reports on the activities of a joint research project work carried out by two Laboratories at the Warsaw University of Technology, Poland, and the University of Naples Federico II, Italy. The joint research work comprised the following main activities: (a) generation, detection, and storage of cutting force sensor signals obtained during sensor-based monitoring of machining processes with variable cutting conditions generating different chip forms, and (b) cutting force signal (CFS) characterization and feature extraction through advanced processing methodologies,
aimed at comparing chip form monitoring results achieved on the basis of innovative signal analysis and processing.
by: K. Jemielniak(1), R. Teti(2), J. Kossakowska(1), T. Segreto(2)
(1) Institute of Manufacturing Technology, Warsaw University of Technology, Narbutta 86, Warsaw, Poland
(2) Dept. of Materials & Production Engineering, University of Naples Federico II, P.le Tecchio 80, Naples, Italy
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| IPROMS_Innovative.pps | 416 KB |
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Dear Authors,
I would like to ask you a question on the signal processing part of your work. How did you determine the number of levels in splitting the component signal in the wavelet analysis? Was there a big difference in the NN SR results between 3 and 4 level features?
Cheers,
Michael.