Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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FORECASTING ELECTROTECHNIKAL COMPLEXES DIAGNOSTIC PARAMETERS OF MAIN DRIVES POWERFUL DRAGLINES

Shamal M.A. 1 Karyakin A.L. 1
1 Ural State Mining University
The work is devoted to the question of forecasting algorithm development of electrotechnikal complexes (ETC) diagnostic parameters of main drives powerful draglines. Dependence of technical condition ETC dragline on mining and climatic operating conditions, operating ranges and quality of service lead to laboriousness increasing of development structured model of ETC. Moreover, development of structured model demands information about principles and mechanisms of ETC operating of each dragline and of whole draglines’ park. We offer to use for ETC modeling method which is based on functional principles. According to this way ETC can be exposed as a dynamical system, which operates in its diagnostic signals space. We can predict ETC technical condition in the future by its discrete diagnostic parameters. Discrete diagnostic signals can be forecast by autoregressive methods. Using these forecasting methods allows us to choose required number of diagnostics signals and we don’t depend on any initial information. Moreover we offer the method of forecasting discrete diagnostic signals, based on forecasting signals’ decomposition components. These components have required properties, what makes training of predictors simpler and allows to increase prediction accuracy.