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A fuzzy decision system based on statistical learning for fault classifications

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1 Author(s)
Yubao Chen ; Dept. of Ind. & Manuf. Syst. Eng., Michigan Univ., Dearborn, MI, USA

A fuzzy decision system (FDS) is proposed for condition monitoring of machining processes. The membership functions are established through a learning process based on test data, rather than being selected as a priori. The optimal partition and information gain weighting functions are also introduced in order to improve the robustness and reliability of this method. Experiment verification with an optimistic success rate of 97.5% was achieved

Published in:

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Date of Conference:

26-29 Jun 1994

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