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Title: The Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticles
Authors: Pietraszek, Jacek
Korzekwa, Joanna
Goroshko, Andrii
Keywords: large datasets;design of experiments;analysis of variance;principal component analysis;geometric structure parameters;surface layer;nano-particles
Issue Date: 2015
Publisher: Trans Tech Publications, Switzerland
Citation: Pietraszek J. The Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticles / J. Pietraszek, J. Korzekwa, A. Goroshko // Applied Mechanics and Materials. – Switzerland : Trans Tech Publications, 2015. – Vol. 235. – P. 9-15.
Abstract: The investigation described in this paper resulted in some complicated statistical analysis. The first level was an experimental design with technological parameters as factorials input and geometrical surface layer properties as quantitative outputs. The second level was an analysis generally leading to an optimization inverse problem: what parameters result in desired surface layer properties. The principal component analysis was made to identify possibility of a dimensionality reduction and simplify the optimization. Obtained results showed that the experimental dataset is practically two-dimensional but PCA projection involves all factors into the skewed hyper-plane. This paper contains a description of the problem, obtained results, analysis and conclusions.
URI: http://elar.khnu.km.ua/jspui/handle/123456789/6069
metadata.dc.type: Стаття
Appears in Collections:Кафедра фізики і електротехніки

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