Title :
Principal Component Analysis of fatigue strength
Author :
Seric, Ljiljana ; Korun Curic, K. ; Susnjar, M.
Author_Institution :
Dept. for Modelling & Intell. Syst., Univ. of Split, Split, Croatia
Abstract :
In this paper authors examine the possibility of using modeling technique based on Principal Component Analysis (PCA) on fatigue strength modeling of selected specimens of steel. The PCA technique will be used for data analysis and model development with goal of identification of variables with most influence on fatigue strength. The model is trained upon data available in literature and application of described model is tested on series of laboratory experiments.
Keywords :
fatigue; principal component analysis; steel; PCA; data analysis; fatigue strength; model development; principal component analysis; steel; Data models; Fatigue; Materials; Predictive models; Principal component analysis; Stress; Training;
Conference_Titel :
Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
Conference_Location :
Opatija
Print_ISBN :
978-953-233-076-2