POSSIBILITIES OF SELF-ORGANIZATION METHODS IN PREDICTING EMERGENCY SITUATIONS IN MINING
https://doi.org/10.26425/1816-4277-2019-11-62-70
Abstract
The article is directed at developing and substantiating one of the approaches to forecasting the individual residual resource of a particular mining equipment in operation in a coal mine clean-up area. The main causes, affecting the accuracy of forecasts, have been identified. The perspectivity of using complex forecasts on several analogs with the help of spline functions for variables, characterizing the technological situations with GGOs, has been shown. The procedure of short-term forecasting of the multidimensional process of changing the average annual values of variables describing technological situations with the conveyor and lava supports in the breakage face has been adduced. Successfully predictable and non-predictable variables have been revealed. Conducted complex forecasts for different criteria of self-organization have allowed us to set the optimal number of analogs and to rank the f
About the Authors
I. S. Bondarenko
National University of Science and Technology “MISiS”
Russian Federation
Bondarenko Inna - Candidate of Technical Sciences
Russian Federation
Bondarenko Inna - Candidate of Technical Sciences
V. V. Kupriyanov
National University of Science and Technology “MISiS”
Russian Federation
Kupriyanov Vyacheslav - Doctor of Technical Sciences
Russian Federation
Kupriyanov Vyacheslav - Doctor of Technical Sciences
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Review
For citations:
Bondarenko I.S., Kupriyanov V.V. POSSIBILITIES OF SELF-ORGANIZATION METHODS IN PREDICTING EMERGENCY SITUATIONS IN MINING. Vestnik Universiteta. 2019;(11):62-70. (In Russ.) https://doi.org/10.26425/1816-4277-2019-11-62-70
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