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Monitoring and Control of Machining Process by Data Mining and Pattern Recognition

Par Conseil national de recherches du Canada

DOITrouver le DOI : https://doi.org/10.1109/CISIS.2012.211
AuteurRechercher : ; Rechercher : 1; Rechercher : 1
Affiliation
  1. Conseil national de recherches du Canada. Aérospatiale
FormatTexte, Article
Conférence2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), 2012-07-4 - 2012-07-6, Palermo, Italy
SujetFault detection; artificial intelligence; data mining
Résumé
In this paper we present a novel approach to the problem of understanding, monitoring, and controlling the machining process of composites materials. The approach is called Logical Analysis of Data (LAD). It is based on data mining and pattern recognition, and uses a machine learning artificial intelligence technique. This novel approach is used for the first time in order to define machining conditions that lead to conforming products, and also conditions which will lead to nonconforming products. In this paper, we introduce the LAD technique, we apply it to the machining of composites, and we report on the results based on data obtained experimentally. We conclude with a discussion of the potential use of LAD in manufacturing.
Langueanglais
Publications évaluées par des pairsOui
Numéro NPARC21269089
Exporter la noticeExporter en format RIS
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Identificateur de l’enregistrementeb6d3084-7bf0-4921-92e3-e6a8c557f613
Enregistrement créé2013-12-05
Enregistrement modifié2020-04-22
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