Методические основы оценки технического состояния оборудования роботизированных комплексов для добычи угля и прогнозирования его изменения в процессе эксплуатации

Abstract

The article discusses the challenges of building predictive assessments of equipment availability that is part of robotic complex for underground coal mining. Gradual failures that make it possible to build degradation models based on functional methods of their health diagnostics using parameters of vibroacoustic signals, temperature fields and working oil have been selected from all the types of possible equipment failures. Limit states of equipment health have been justified for all the considered types of nondestructive testing based on the used diagnostic criteria. Various models of changes in the health of mining equipment being part of the robotic complexes have been analyzed, criteria for assessing the adequacy of the model to the actual values have been justified, and two main estimates of the interval limits, i.e. the confidence interval and the prediction interval, have been determined. Methodologies have been developed for long-term (for the existing system of scheduled maintenance) and short-term (for the system of preventative maintenance) forecasting of changes in the health of equipment being part of robotic complexes for underground coal mining. The proposed factographic models are based on processing and analysis of statistical material obtained by monitoring of diagnostic parameters.