Authors: A.N. Smirnov, N.V. Ababkov, M.S. Nikitenko, Pimonov , A.S. Teleguz, K.S. Nesterenko, M.N. Medvedchikov

Title of the article: Software module for assessing the state of mining equipment based on regularities of changes in the structural-phase state and fields of metal internal stress

Year: 2022, Issue: 6, Pages: 50-58

Branch of knowledge: 2.5.9. Methods and devices for monitoring and diagnosing materials, products, substances and the natural environment

Index UDK: 621.791.05:620.179

DOI: 10.26730/1999-4125-2022-6-50-58

Abstract: Most of the mining equipment is morally obsolete and has exceeded its service life at the present time. To assess the quality and reliability of the object of control and its elements, without taking it out of operation or dismantling, various physical methods of non-destructive testing are used. However, many traditional non-destructive testing methods used to assess the state of mining equipment (SME) have a number of significant limitations, the main of which is that all these methods can confidently identify already formed, relatively large defects. In addition, the human factor plays an important role in their detection. The paper describes the operation algorithm of the software module for assessing the current state of the SME based on the patterns of changes in the structural-phase state and fields of internal stresses of the metal and the use of the spectral-acoustic method of non-destructive testing. The developed software module for assessing the current state of mining equipment makes it possible to automate the process of assessing the health of equipment at hazardous production facilities, as well as integrating a monitoring system for the current state of metal structures operating under load and pressure into existing data processing centers for display to the operator of the dispatcher console, which will significantly reduce the labor intensity of work on resource evaluation.

Key words: software module mining equipment non-destructive testing structural-phase state internal stresses

Receiving date: 28.10.2022

Approval date: 01.12.2022

Publication date: 27.12.2022

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