The application of B-Spline neurofuzzy networks for condition monitoring of metal cutting tool

Authors:
Pan Fu;A. D. Hope
Affiliations:
Mechanical Engineering Faculty, Southwest JiaoTong University, Chengdu, China;Systems Engineering Faculty, Southampton Institute, Southampton, UK
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

Citing 3
Cited 0

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IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

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Abstract

Metal cutting operations constitute a large percentage of the manufacturing activity. Cutting tool condition monitoring is certainly the important monitoring requirement of unintended machining operations. A multi-purpose intelligent tool condition monitoring technique for metal cutting process will be introduced in this paper. The knowledge based intelligent pattern recognition algorithm is mainly composed of a fuzzy feature filter and algebraic neurofuzzy networks. It can carry out the fusion of multi-sensor information to enable the proposed intelligent architecture to recognize the tool condition successfully.