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

Sofiane Achiche, A Wozniak, Zhun Fan, M Balazinski, L Baron, Torben Sørensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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    Abstract

    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.
    Original languageEnglish
    Title of host publicationAnnual Meeting of the North American Fuzzy Information Processing Society, 2008. NAFIPS 2008.
    PublisherIEEE
    Publication date2008
    Pages1-4
    ISBN (Print)978-1-4244-2351-4
    DOIs
    Publication statusPublished - 2008
    EventAnnual Meeting of the North American Fuzzy Information Processing Society, 2008. - New York City, NY
    Duration: 1 Jan 2008 → …

    Conference

    ConferenceAnnual Meeting of the North American Fuzzy Information Processing Society, 2008.
    CityNew York City, NY
    Period01/01/2008 → …

    Bibliographical note

    Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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