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This article is cited in 1 scientific paper (total in 1 paper)
Information computation and analytical system of estimation and forecasting of corrosion processes on the surface of steel and aluminum
M. R. Enikeeva, I. M. Gubaydullinba, M. A. Maleevac a Institute of Petrochemistry and Catalysis,
Russian Academy of Sciences, 141 Pr. Oktyabria , Ufa 450075,
Republic of Bashkortostan, Russian Federation
b Ufa State Petroleum Technological University,
1 Kosmonavtov Str., Ufa 450062, Republic of Bashkortostan,
Russian Federation
c Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, 31 Leninsky Prosp., Moscow 199071, Russian Federation
Abstract:
This work considers the problem of corrosion identification and quantitative estimation of corrosion damage, which is important in mechanical engineering, construction, and oil production. The goal of this work is to develop an information and analytical system for estimation and forecasting of corrosion processes on the surface of steel and aluminum. This system is considered on an example of data processing of the aluminum corrosion process and corrosion cracking of steel. The results of the work can be used for research of corrosion processes on the metal surface to establish patterns between surface condition and physical and chemical effects on it.
Keywords:
information and analytical system; metal corrosion; computer vision.
Received: 14.12.2016
Citation:
M. R. Enikeev, I. M. Gubaydullin, M. A. Maleeva, “Information computation and analytical system of estimation and forecasting of corrosion processes on the surface of steel and aluminum”, Sistemy i Sredstva Inform., 27:3 (2017), 155–170
Linking options:
https://www.mathnet.ru/eng/ssi536 https://www.mathnet.ru/eng/ssi/v27/i3/p155
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Abstract page: | 236 | Full-text PDF : | 107 | References: | 33 |
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