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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/43900
Title: Predicting the operational efficiency of high-pressure roller crushers
Authors: Ivashchuk, O. A.
Ivashchuk, O. D.
Fedorov, V. I.
Shtana, A. I.
Keywords: technique
mining
high-pressure
roller crushers
iron ore
ore crushing
regression analysis
modeling
Issue Date: 2020
Citation: Predicting the operational efficiency of high-pressure roller crushers / O.A. Ivashchuk [et al.] // Russian Engineering Research. - 2020. - Vol.40, №11.-P. 970-972. - Doi: 10.3103/S1068798X2011009X.
Abstract: Models based on regression analysis for predicting the operational efficiency of high-pressure roller crushers are considered. A systematized and structured production database is created and statistically analyzed. The consistency of the data is verified. The parameters with the greatest influence on the productivity are identified. The basic structure of the mathematical models is determined, and the limits on their applicability are assessed. Predictive mathematical models are developed. Their adequacy is verified, and their precision is established in assessing the productivity of mills at an enrichment plant where the mineral composition of the incoming ore varies
URI: http://dspace.bsu.edu.ru/handle/123456789/43900
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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