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

Title of the article: Creation of a unified diagnostic criterion for assessing the technical condition of mining equipment

Year: 2021, Issue: 2, Pages: 17-22

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 621.879:681.518.5

DOI: 10.26730/1816-4528-2021-2-17-22

Abstract: The urgency of the discussed issue. As part of solving the problem of ensuring the safe operation of extremely worn out equipment of mining shovels, the development of a methodology for creating uniform diagnostic criteria was carried out. The developed criteria will reduce the requirements for the qualifications of specialists in vibration diagnostics, reduce the labor intensity of vibration analysis and minimize the occurrence of errors.
The main aim of the study: Development and substantiation of a methodology for creating unified diagnostic criteria suitable for assessing and predicting the degradation processes of the technical state of mining machines.
The methods used in the study: In this work, we used the results of an integrated diagnostic approach to the analysis of vibration parameters, including spectral analysis in the extended frequency and dynamic range, analysis of the spectral envelope, excess and analysis of aggregate run-down characteristics. To create unified criteria, the approaches of optimal scalarization of diagnostic data were used.
The results: The obtained scientific results make it possible to create a methodology for the development of unified diagnostic criteria suitable for assessing the actual state of control objects and constructing a short-term forecast of its change. Criteria testing results clearly demonstrate the correctness of the chosen approach for the diagnosis of the unique complex technical systems, which include electromechanical equipment mining shovels.

Key words: vibration analysis mining shovels mechanical defects diagnostic methodology predictive modeling single criterion

Receiving date: 09.03.2021

Publication date: 29.04.2021

Исследование выполнено при финансовой поддержке РФФИ и Кемеровской области в рамках научного проекта № 20-48-420010\21

CITE DOWNLOAD