Кафедра фізики і електротехніки
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Перегляд Кафедра фізики і електротехніки за Ключові слова "design of experiments"
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Документ Construction and practical application of hybrid statisticallydetermined models of multistage mechanical systems(Kaunas University of Technology, 2014) Goroshko, Andrii; Royzman, VilenThe paper proposes a method of creating a hybrid statistically-determined models for structurally complex of mechanical systems. The method uses an active planned experiment , but it can significantly reduce the amount of experimental research. Hybrid statistically-determined model of aircraft defendant signal power was created. Priority factors of mechanical nature destabilizing the output power level were identified. The study solved multiple inverse problem of determining the permissible values of these factors, in which the signal power is within specifications.Документ The Heuristic Approach to the Selection of Experimental Design, Model and Valid Pre-Processing Transformation of DoE Outcome(Trans Tech Publications, 2014) Pietraszek, Jacek; Goroshko, AndriiThe typical problem in the design of experiments methodology is to avoid the risk of obtaining predictions outside of ranges with a technological or physical sense. Such a situation occurs very often if a simple linear regression or another unbounded one is involved as a predictive model. The possible solution is to provide mappings of the outcome from the range of interest into the full range from negative to plus infinity before the linear regression is applied. The intermediate values obtained from the unbounded predictive model are re-transformed into the physical domain by the inverse transformation. The key issue is to decide if the mapping is required and –subsequently – what mapping is necessary. The author proposed a simple heuristic solution supporting this decision and tested such a solution in some examples described in this paper.Документ The Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticles(Trans Tech Publications, Switzerland, 2015) Pietraszek, Jacek; Korzekwa, Joanna; Goroshko, AndriiThe 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.