Authors: P.B. Gericke, B.L. Gericke

Title of the article: Forecast of accident-free operation of mining machinery

Year: 2023, Issue: 1, Pages: 33-40

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

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2023-1-33-40

Abstract: Under the conditions of the planned preventive maintenance system currently operating in the coal industry of Kuzbass, the results of short- and medium-term forecasting of the processes of changing the actual state of mining equipment are of the greatest relevance. Within the framework of this work, an attempt was made to create a universal predictive model that uses fundamentally new unified diagnostic criteria for assessing the state of complex mechanical systems as modeled parameters. The purpose of this work is to develop a mathematical model suitable for adequate prediction of the degradation processes of the actual technical state of the energy-mechanical equipment of mining machines using the algorithm of new unified diagnostic criteria. The vibration of mining machinery equipment was analyzed using spectral analysis in the extended frequency and dynamic ranges, the spectrum of the envelope and kurtosis. When developing unified diagnostic criteria, the method of optimal scalarization of experimental data was used. The results of adaptive short-term forecasting were used to develop a model for the development of defects in the dynamic equipment of mining machinery. The scientific results obtained in the framework of this work indicate the effectiveness of the proposed short-term predictive model for solving the problem of assessing the degree of development of degradation processes on the equipment of mining machines in the framework of the use of new unified diagnostic criteria.

Key words: predictive modeling vibration analysis degradation of technical condition mining shovels a unified diagnostic criterion mining equipment

Receiving date: 13.07.2022

Approval date: 06.10.2022

Publication date: 09.03.2023

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