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3D CMM strain-gauge triggering probe error characteristics modeling using fuzzy logic

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6 Author(s)
Achiche, S. ; Dept. of Manage. Eng., Tech. Univ. of Denmark, Lyngby ; Wozniak, A. ; Fan, Z. ; Balazinski, M.
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The error values of CMMs depends on the probing direction; hence its spatial variation is a key part of the probe inaccuracy. This paper presents genetically-generated fuzzy knowledge bases (FKBs) to model the spatial error characteristics of a CMM module-changing probe. Two automatically generated FKBs based on two optimization paradigms are used for the reconstruction of the direction- dependent probe error w. The angles beta and gamma are used as input variables of the FKBs; they describe the spatial direction of probe triggering. The learning algorithm used to generate the FKBs is a real/ binary like coded genetic algorithm developed by the authors. The influence of the optimization criteria on the precision of the genetically-generated FKBs is presented.

Published in:

Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American

Date of Conference:

19-22 May 2008

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