Abstract
This paper proposes an on-line tool wear estimation paradigm based on combining neural networks and fractal analysis. The fractal properties of the sensor signal are related with tool wear in turning operation. The results of simulation experiments reveal the potentials of the new paradigm.
Original language | English (US) |
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Pages | 975-980 |
Number of pages | 6 |
State | Published - Dec 1 1994 |
Event | Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) - St. Louis, MO, USA Duration: Nov 13 1994 → Nov 16 1994 |
Conference
Conference | Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) |
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City | St. Louis, MO, USA |
Period | 11/13/94 → 11/16/94 |
All Science Journal Classification (ASJC) codes
- General Engineering