Methodological bases for assessing the health of equipment being part of robotic coal mining complexes and predicting its changes during operation
P.B. Gerike1, V.I. Klishin1, 2, B.L. Gerike1, 2
1 Federal Research Center for Coal and Coal Chemistry of the Siberian Branch of the Russian Academy of Sciences, Kemerovo, Russian Federation
2 T.F. Gorbachev Kuzbass State Technical University, Kemerovo, Russian Federation
Russian Mining Industry №S2 / 2023 р. 37-46
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.
Keywords: robotic complex, vibration parameters, temperature field parameters, fuel, oil and lubricant parameters, technical condition, change, assessment
For citation: Gerike P.B., Klishin V.I., Gerike B.L. Methodological bases for assessing the health of equipment being part of robotic coal mining complexes and predicting its changes during operation. Russian Mining Industry. 2023;(S2):37–46. https://doi.org/10.30686/1609-9192-2023-S1-37-46
Article info
Received: 03.08.2023
Revised: 28.08.2023
Accepted: 29.08.2023
Information about the authors
Pavel B. Gerike – Cand. Sci. (Eng.), Associate Professor, Senior Research Associate, Coal Engineering Laboratory, Federal Research Center for Coal and Coal Chemistry of the Siberian Branch of the Russian Academy of Sciences, Kemerovo, Russian Federation; https://orcid.org/0000-0003-2085-6108; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Vladimir I. Klishin – Dr. Sci. (Eng.), Corresponding Member of the Russian Academy of Sciences, Professor, Director of the Institute of Coal, Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, Kemerovo, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Boris L. Gerike – Dr. Sci. (Eng.), Professor, Chief Research Associate, Federal Research Center for Coal and Coal Chemistry of the Siberian Branch of the Russian Academy of Sciences; Professor, Department of Mining Machines and Complexes, T.F. Gorbachev Kuzbass State Technical University, Kemerovo, Russian Federation; https://orcid.org/0000-0001-9586-8723; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Conflict of interest
The authors declare no conflict of interests. All the authors have read and approved the final version of this paper.
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