Sergey I. Kumkov, Milan Hladík, Ludmila A. Yolshina, and Varvara A. Yolshina. New information technology on the basis of interval analysis: Estimation of aluminum corrosion parameters in real electrochemical process. In Proceedings of the 3rd International Workshop on Radio Electronics & Information Technologies, Yekaterinburg, Russia, March 14, 2018, pp. 76–85, CEUR Workshop Proceedings, 2018.
Practical applications of computer technologies are considered. Estimation of parameters of the aluminum corrosion process is investigated. In practice, estimation of parameters of experimental chemical processes is very actual and important for researches for necessary organization of corresponding technological processes by correct choice of the parameters. But usually, determination of the process parameters is hampered by their complicated internal structure and incompleteness of input information for processing. The paper considers application of the interval analysis procedures to estimation of parameters of an experimental chemical process under conditions of corruption, uncertainty of errors (corruption) probability characteristics, and short sample of measurements. For these reasons, the standard statistical approach can be applied only formally; especially, it becomes impossible to determine accurately the confidential intervals for parameters of the process. Under such conditions, namely methods of the interval analysis can work reliably and give exact set of the admissible values of the parameters to be estimated. In this paper, existing interval analysis procedures were advanced and arranged for a concrete experimental process and its data. As a comparison, approximate estimations of parameters have been calculated by the standard statistical approach. It is shown that the standard approach gives very rough and, often, practically senseless estimations of the process parameters.
@inProceedings{KumHla2018a,
author = "Sergey I. Kumkov and Milan Hlad\'{\i}k and Ludmila A. Yolshina and Varvara A. Yolshina",
title = "New information technology on the basis of interval analysis: {Estimation} of aluminum corrosion parameters in real electrochemical process",
editor = "Akimova et al., E.N.",
feditor = "Elena N. Akimova and Andrey V. Sosnovsky and Roman A. Gareev",
booktitle = " Proceedings of the 3rd International Workshop on Radio Electronics \& Information Technologies, Yekaterinburg, Russia, March 14, 2018",
publisher = "CEUR Workshop Proceedings",
pages = "76-85",
year = "2018",
issn = "1613-0073",
bib2html_dl_pdf = "http://ceur-ws.org/Vol-2076/paper-09.pdf",
abstract = "Practical applications of computer technologies are considered. Estimation of parameters of the aluminum corrosion process is investigated. In practice, estimation of parameters of experimental chemical processes is very actual and important for researches for necessary organization of corresponding technological processes by correct choice of the parameters. But usually, determination of the process parameters is hampered by their complicated internal structure and incompleteness of input information for processing. The paper considers application of the interval analysis procedures to estimation of parameters of an experimental chemical process under conditions of corruption, uncertainty of errors (corruption) probability characteristics, and short sample of measurements. For these reasons, the standard statistical approach can be applied only formally; especially, it becomes impossible to determine accurately the confidential intervals for parameters of the process. Under such conditions, namely methods of the interval analysis can work reliably and give exact set of the admissible values of the parameters to be estimated. In this paper, existing interval analysis procedures were advanced and arranged for a concrete experimental process and its data. As a comparison, approximate estimations of parameters have been calculated by the standard statistical approach. It is shown that the standard approach gives very rough and, often, practically senseless estimations of the process parameters.",
keywords = "Interval analysis; Metal corrosion; Uncertainty conditions; Estimation; Parameters",
}
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