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WELDES: An intelligent defects expert system for aluminum welding process

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dc.contributor.author Tsoukalas, VD en
dc.contributor.author Kontesis, M en
dc.contributor.author Badogiannis, E en
dc.contributor.author Papachristos, D en
dc.contributor.author Fragiadakis, N en
dc.date.accessioned 2014-03-01T01:56:23Z
dc.date.available 2014-03-01T01:56:23Z
dc.date.issued 2007 en
dc.identifier.issn 17900832 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/28093
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-33847701215&partnerID=40&md5=a7a4434ac3a4c54c6e690c8753fc8a05 en
dc.subject Aluminium en
dc.subject Artificial intelligence en
dc.subject Expert systems en
dc.subject Knowledge engineering en
dc.subject Welding process en
dc.subject.other Aluminum en
dc.subject.other Intelligent systems en
dc.subject.other Knowledge engineering en
dc.subject.other Optimization en
dc.subject.other Welding en
dc.subject.other Aluminum welding en
dc.subject.other Defect identification en
dc.subject.other Systematic investigation en
dc.subject.other Expert systems en
dc.title WELDES: An intelligent defects expert system for aluminum welding process en
heal.type journalArticle en
heal.publicationDate 2007 en
heal.abstract In manufacturing industry, expert systems have developed in a wide field of applications having as main objectives the most optimal planning of processes and the quality guarantee of produced products. Aluminum welding because of its complexity and the difficulties inherent has not been as fully considered until now as an applicable domain for expert systems. However, systems have been developed for certain aspects of the process and within the industry there is considerable expert knowledge for this process regarding defect identification and prevention, available both from the literature and through systematic investigation and analysis in various institutes and laboratories. The aim of this project is the development of an expert system for the diagnosis, assessment, and alleviation of aluminum welding defects. WELDES system is able to identify the welding defects, to correlate them to the causal welding process parameters and to offer advice regarding the necessary corrective actions. The system comprises two main modules: the Diagnostic Module, and the Adviser Module. en
heal.journalName WSEAS Transactions on Information Science and Applications en
dc.identifier.volume 4 en
dc.identifier.issue 2 en
dc.identifier.spage 339 en
dc.identifier.epage 345 en


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