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Application of Multivariate Analysis Methods in Welding Engineering

Abstract

Phenomena and processes taking place during welding are usually very complex and, for this reason, should be described using multivariate methods. The article discusses the methodological basis and selected application areas as regards the solving of welding problems using statistical multivariate methods. In addition, the article presents exemplary applications of the design of experiment, multiple regression analysis, cluster analysis, principal component analysis and logistic regression analysis. The application of multivariate analyses provides the possibility of performing the mathematical description of joining processes, which, after verification, could be used to forecast results of such processes, particularly in relation to the properties and fatigue service life of welded structures.

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DOI:
Digital Object Identifier (open in new tab) 10.17729/ebis.2018.5/15
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Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Biuletyn Instytutu Spawalnictwa w Gliwicach no. 2018, edition 5, pages 137 - 145,
ISSN: 0867-583X
Language:
English
Publication year:
2018
Bibliographic description:
Fydrych D., Świerczyńska A., Rogalski G., Łabanowski J.: Application of Multivariate Analysis Methods in Welding Engineering// Biuletyn Instytutu Spawalnictwa w Gliwicach. -Vol. 2018., iss. 5 (2018), s.137-145
DOI:
Digital Object Identifier (open in new tab) 10.17729/ebis.2018.5/15
Verified by:
Gdańsk University of Technology

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