Neural network approach for diagnosis of grinding operation by acoustic emission and power signals

Author:

Kwak Jae-Seob,Ha Man-Kyung

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference9 articles.

1. A methodology for fuzzy modeling of engineering systems;Ali;Fuzzy Sets Syst.,2001

2. Studies on the fundamental of grinding burn (3rd report)—oxidation rate law of workpiece;Kawamura;J. JSPE,1981

3. S. Malkin, Grinding Technology—Theory and Applications of Machining with Abrasives, Wiley, New York, 1989, p. 147.

4. Computer simulation of self-excited and forced vibrations in the external cylindrical plunge grinding process;Liao;Trans. ASME,1991

5. A grinding power model for selection of dressing and grinding conditions;Chen;Trans. ASME,1999

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