Analysis of data from a passive industrial experiment

Autor:	E. I. Toryanik, Yu. A. Chernyshov, O. V. Sinyaeva, G. M. Tkalich, V. N. Rubchevskiy, A. V. Podlubnyy, A. A. Zhuravsky, S. V. Fedorova, A. S. Gaidaenko
Rok vydání:	2014
Předmět:	Matrix (mathematics) Mathematical optimization Fuel Technology Ranking Computer program Process Chemistry and Technology Design of experiments Autocorrelation Data analysis Environmental Chemistry Control engineering Mathematics
Zdroj:	Coke and Chemistry. 57:177-181
ISSN:	1934-8398 1068-364X
DOI:	10.3103/s1068364x14040073
Popis:	Experiment design is classically used in mathematical modeling of technological processes. To that end, experiments are conducted according to a matrix with strict ranking of the data. That approach is poorly suited to objects in which the input parameters vary arbitrarily, such as operational industrial enterprises. Accordingly, a new method has been developed for the analysis of data from a passive experiment; the method is incorporated in a computer program.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b3a3ba262ef7649cae969807e8d62063 https://doi.org/10.3103/s1068364x14040073 Zobrazit plný text záznamu Full text from SpringerLink