Authors: P.B. Gericke, B.L. Gericke, A.S. Teleguz

Title of the article: Evaluation of the degradation parameters of the technical state of mining machines with the use of the developed software

Year: 2023, Issue: 2, Pages: 57-67

Branch of knowledge: 2.8.8. Geotechnology, Mining machines (engineering)

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2023-2-57-67

Abstract: The relevance of the work. This paper presents some results of calculations using new unified diagnostic criteria for assessing the technical condition of mining machinery equipment by vibration parameters, which allowed us to begin solving the problem briefly- and medium-term forecasting of the processes of degradation of the technical condition of diagnostic objects, as well as to create software based on the implementation of the proposed adaptive mathematical model for the implementation of automated forecasting of the processes of defect development and changes in the actual state of the power-mechanical equipment of mining equipment.
The purpose of the work: To prove the effectiveness of the created software for obtaining in automated mode using new unified diagnostic criteria the results of short- and medium-term forecasting of the technical condition of quarry excavators. On the example of rolling bearings used in the construction of energy-mechanical equipment of quarry excavators, to test the developed software to obtain a forecast of the degradation of the technical condition of mining machines, created on the basis of an adaptive mathematical model and new unified diagnostic criteria. To assess the reliability of the forecasting results obtained using the developed software, as well as to propose a direction for improving the methodology for normalizing the parameters of mechanical vibrations in relation to solving the problem of implementing a medium-term forecast of the occurrence of emergency failures of mining equipment.
Research methods: To perform vibration analysis, an integrated approach to diagnostics was used, including the results of spectral analysis in the extended frequency and dynamic range, analysis of the run-out characteristics, kurtosis and analysis of the envelope of the spectrum. To simulate the degradation processes of complex mechanical systems, an adaptive mathematical model was implemented, using new unified diagnostic criteria as modeled parameters, in the development of which the principles of optimal scalarization of experimental results were applied.
Results: The scientific results obtained in the framework of this work prove the effectiveness of the developed software for predicting the technical condition of mining machines, created using the proposed adaptive model and new unified diagnostic criteria. The implementation of the results obtained in practice will make it possible to modernize the mining equipment repair management system operating at coal enterprises, which will lead to optimization of repair and logistics costs, and will also reduce the number of industrial accidents associated with the unacceptable condition of the mining equipment in operation.
The work was carried out within the framework of the state task of the Federal State Budgetary Institution "Federal Research Center for Coal and Coal Chemistry of the Siberian Branch of the Russian Academy of Sciences" project FWEZ-2021-0002 "Development of effective technologies for coal mining by robotic mining complexes without the constant presence of people in mining areas, control systems and methods for assessing the technical condition and diagnostics of their resource and justification for ensuring reproduction mineral resource base" (reg. no. AAAAA-A21-121012290021-1).

Key words: underwater mining of solid minerals ferromanganese nodules underwater mining complex intermediate capsule hydraulic lifting of nodules

Receiving date: 16.03.2023

Approval date: 18.04.2023

Publication date: 17.05.2023

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