Tool Condition Monitoring Using the TSK Fuzzy Approach Based on Subtractive Clustering Method

Authors:
Qun Ren;Marek Balazinski;Luc Baron;Krzysztof Jemielniak
Affiliations:
Mechanical Engineering Department, École Polytechnique de Montréal, Montréal, Canada H3C 3A7;Mechanical Engineering Department, École Polytechnique de Montréal, Montréal, Canada H3C 3A7;Mechanical Engineering Department, École Polytechnique de Montréal, Montréal, Canada H3C 3A7;Faculty of Production Engineering, Warsaw University of Technology, Warsaw, Poland 02-524
Venue:
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Year:
2008

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Abstract

This paper presents a tool condition monitoring approach using Takagi-Sugeno-Kang (TSK) fuzzy logic incorporating a subtractive cluste- ring method. The experimental results show its effectiveness and satisfactory comparisons with several other artificial intelligence methods.