The Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticles

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dc.contributor.authorPietraszek, Jacek
dc.contributor.authorKorzekwa, Joanna
dc.contributor.authorGoroshko, Andrii
dc.date.accessioned2018-02-13T19:13:31Z
dc.date.available2018-02-13T19:13:31Z
dc.date.issued2015
dc.description.abstractThe 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.uk_UA
dc.identifier.citationPietraszek 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.uk_UA
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/6069
dc.language.isoenuk_UA
dc.publisherTrans Tech Publications, Switzerlanduk_UA
dc.subjectlarge datasetsuk_UA
dc.subjectdesign of experimentsuk_UA
dc.subjectanalysis of varianceuk_UA
dc.subjectprincipal component analysisuk_UA
dc.subjectgeometric structure parametersuk_UA
dc.subjectsurface layeruk_UA
dc.subjectnano-particlesuk_UA
dc.titleThe Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticlesuk_UA
dc.typeСтаттяuk_UA
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