METHOD OF DIAGNOSTICS OF FILLING MATERIAL STRENGTH BASED ON TIME SERIES
Salim Mustafin
mustafinsal@mail.ruInstitute of Information and Computing Technologies, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0001-7261-6187
Marat Arslanov
Institute of Information and Computing Technologies, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0002-0721-1412
Abdikarim Zeinullin
Kazakhstan National Academy of Natural Sciences, Nur-Sultan, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0001-8069-0037
Ekaterina Korobova
Plekhanov University of Economics, Moscow, Russia (Russian Federation)
http://orcid.org/0000-0002-2217-8892
Abstract
The method of forecasting of the filling concreting process according to the observational data of the stowing material’s state indices is carried out at earlier time series. The method of predicting the hardening process is based on pattern recognition methods. An algorithm for the case when the training set contains sets of time series of several classes is proposed.
Keywords:
forecasting, process status, filling material, safety, time seriesReferences
Baikonurov O.A., Krupnik L., Melnikov V.: Underground mining with stowing. Nauka, Alma-Ata 1972.
Google Scholar
Blekhman I.I., Myshkis A.D., Panovko Ya.G.: Mechanics and Applied Mathematics: Logic and features of the applications of mathematics. Nauka, Moscow 1990.
Google Scholar
Kalimoldayev M.N. et al.: Methodological basis for the development strategy of artificial intelligence systems in the Republic of Kazakhstan in the message of the president of the Republic of Kazakhstan dated October 5, 2018. News of the National Academy of Sciences of the Republic of the Kazakhstan – Series of geology and technical sciences 6/2018, 47–54 [DOI: 10.32014/2018.2518-170X.34].
DOI: https://doi.org/10.32014/2018.2518-170X.34
Google Scholar
Zhuravlyov Yu. I.: Selected scientific works - Magistr, Moscow 1998.
Google Scholar
Authors
Salim Mustafinmustafinsal@mail.ru
Institute of Information and Computing Technologies, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0001-7261-6187
Authors
Marat ArslanovInstitute of Information and Computing Technologies, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0002-0721-1412
Authors
Abdikarim ZeinullinKazakhstan National Academy of Natural Sciences, Nur-Sultan, Kazakhstan Kazakhstan
http://orcid.org/0000-0001-8069-0037
Authors
Ekaterina KorobovaPlekhanov University of Economics, Moscow, Russia Russian Federation
http://orcid.org/0000-0002-2217-8892
Statistics
Abstract views: 258PDF downloads: 154
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
