Tool Wear Estimation for Different Workpiece Materials Using the Same Monitoring System

Author:

Salgado D.R.,Cambero I.,Olivenza J.M. Herrera,Sanz-Calcedo J. García,López P.J. Núñez,Plaza E. García

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference15 articles.

1. Drilling wear detection and classification using vibration signals and arti.cial neural network;Abu-Mahfouz;International Journal of Machine Tools and Manufacture,2003

2. Tool condition monitoring-status of research and industrial application;Byrne;Ann. CIRP,1995

3. On-line tool wear estimation in CNC turning operations using fuzzy neural network model;Chungchoo;International Journal of Machine Tools and Manufacture,2002

4. Analysis of Time Series Structure-SSA and Related Techniques;Golyandina;Chapman & Hall.,2001

5. Tool wear monitoring based on a non-monotonic signal feature;Jemielniak;Proc IMechE J Eng Manufacture,2006

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