Tool wear monitoring by machine learning techniques and singular spectrum analysis-Reference-Cited by-同舟云学术

Tool wear monitoring by machine learning techniques and singular spectrum analysis

Published:2011-01 Issue:1 Volume:25 Page:400-415
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Kilundu Bovic,Dehombreux Pierre,Chiementin Xavier

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference30 articles.

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3. E. Rivière-Lorfèvre, Study and simulation of high speed machining processes: cutting forces, stability, surface finish, Ph.D. Thesis, Engineering Faculty of Mons, Belgium, 2007.

4. Tool condition monitoring using artificial intelligence methods;Balazinski;Engineering Applications of Artificial Intelligence,2002

5. Hybrid learning for tool wear monitoring;Li;International Journal of Advanced Manuacturing Technology,2000

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