Intelligent system for grinding wheel condition monitoring

Journal of Materials Processing Technology

Volumn 109, Issue 3, 2001, Pages 258-263

  Lezanski, Pawel ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DECISION SUPPORT SYSTEMS; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; SENSORS; SPECTRUM ANALYSIS; STATISTICAL METHODS;

FUZZY LOGIC DECISION SYSTEMS;

GRINDING WHEELS;

EID: 0035254604     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(00)00808-6     Document Type: Article

References (6)

1. Dornfeld D.A. Neural network sensor fusion for tool condition monitoring. Ann. CIRP. 39(1):1990;101-105.
2. Lezanski P., Rafalowicz J. An intelligent monitoring system for cylindrical grinding. Ann. CIRP. 42(1):1993;393-396.
3. J. Rafalowicz, P. Lezanski, P. Lajmert, J. Teodorczyk, D. Wrabel, Zastosowanie teorii zbiorów rozmytych w sterowaniu i diagnostyce procesu szlifowania (Application of fuzzy set theory in grinding process diagnostics), Report for KBN, Politechnika Lodzka, Lodz, 1998 (in Polish).
4. Rowe W.B., Yan L., Inasaki I., Malkin S. Applications of artificial intelligence in grinding. Ann. CIRP. 43(2):1994;521-531.
5. A. Sokolowski, J. Kosmol, Cutting process supervision: review of artificial intelligence application, in: Proceedings of the Sixth Workshop on Supervising and Diagnostics of Machining Systems: Diagnostics and Supervising in Flexible Manufacturing, Oficyna Wyd. Politechniki Wroclawskiej, Wroclaw, 1995, pp. 113-130.
6. R. Yager, D. Filev, Essentials of Fuzzy Modeling and Control, Wiley, New York, 1994.