Article Back

KNOWLEDGE COMPONENTS DESCRIPTION, SUPPORT TO PREVENT DEFECTS OF METAL PRODUCTS USING METHODS BASED ON ARTIFICIAL INTELLIGENCE AND ETL TECHNOLOGIES

1 KLUSKA-NAWARECKA Stanisława
Co-authors:
3 JANČÍKOVÁ Zora 3 DAVID Jiří 1,2 WILK-KOŁODZIEJCZYK Dorota 2 REGULSKI Krzysztof 2 DAJDA Jacek
Institutions:
1 The Foundry Research Institute, Cracow, Poland, EU, stanislawa.nawarecka@iod.krakow.pl, dorota.wilk@iod.krakow.pl
2 AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Cracow, Poland, EU
3 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, zora.jancikova@vsb.cz, j.david@vsb.cz
Conference:
23rd International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 21 - 23, 2014
Proceedings:
Proceedings 23rd International Conference on Metallurgy and Materials
Pages:
1451-1457
ISBN:
978-80-87294-52-9
ISSN:
2694-9296
Published:
18th June 2014
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
216 views / 120 downloads
View Full-text Download PDF
Abstract

The process of creating knowledge components which allow preventing the formation of defects in metal products was described. Components are the result of the integration of knowledge from databases containing information on defects in castings, from publications dealing with the problems of metallurgy, and from standards and articles discussing causes of defects in metal products. Tools for knowledge integration are based on selected methods of artificial intelligence and ETL technology.

Keywords: defects in metal products, crack defect, integration of knowledge

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scroll to Top