Search
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.
Citations
-
2
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (4)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.17729/ebis.2018.5/15
- License
-
open in new tab
Keywords
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
seen 122 times
Recommended for you
Exploring the trends in flux-cored arc welding: scientometric analysis approach
- A. Świerczyńska,
- B. Varbai,
- C. Pandey
- + 1 authors