Tool wear condition monitoring using a sensor fusion model based on fuzzy inference system-Reference-Cited by-同舟云学术

Tool wear condition monitoring using a sensor fusion model based on fuzzy inference system

Published:2009-02 Issue:2 Volume:23 Page:539-546
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Aliustaoglu Cuneyt,Ertunc H. Metin,Ocak Hasan

Publisher

Elsevier BV

Subject

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

Reference9 articles.

1. H.M. Ertunc, K.A. Loparo, E. Ozdemir, H. Ocak, Real time monitoring of tool wear using multiple modelling method, in: IEEE International Electric Machines and Drives Conference IEMDC 2001, MIT, Cambridge, Massechusetts, 2001, pp. 687–691.

2. Tool wear monitoring in diamond turning by fuzzy pattern recognition;Ko;ASME Journal of Engineering in Industries,1994

3. A.D. Dornfeld, M.F. DeVeries, Drill wear and fracture monitoring using acoustic emission, CIRP STC C Meeting, Paris, 1992.

4. Analysis of an effective sensing location for detecting tool breakage in end milling operations;Chen;Journal of Industrial Technology,1998

5. Tool wear detection with fuzzy classification and wavelet fuzzy neural network;Yingxue;International Journal of Machine Tools and Manufacture,1999

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