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

Title of the article: Ventilation equipment as an object of non-destructive testing using uniform diagnostic criteria

Year: 2025, Issue: 4, Pages: 119-127

Branch of knowledge: 2.8.8 Geotechnology, mining machines

Index UDK: 681.518.5

DOI: 10.26730/1999-4125-2025-4-119-127

Abstract: The relevance of the work. This work will include some results of studies of vibration load parameters of ventilation equipment and aspiration systems, obtained as a result of the analysis of initial data using new unified diagnostic criteria. The use of the principles of adaptive mathematical modeling of new diagnostic criteria made it possible to start medium-term forecasting of changes in the parameters of the actual state of the equipment in operation, the results of which are of decisive value precisely in the conditions of the planned repair system. Purpose of the work: The main purpose of the work is to identify the possibilities of obtaining additional advantages of implementing unified diagnostic criteria within the framework of diagnostics on vibration parameters of aspiration equipment. Research methods: The scientific results obtained in the framework of this study are based on the results of an integrated approach to the diagnosis of ventilation equipment and gas purification plants by vibration parameters, which includes the results of monitoring using spectral analysis and other diagnostic methodologies. Results: The results of the analysis of vibration parameters proved the existence of a fundamental possibility of applying uniform criteria for the diagnosis and prediction of the technical condition of various ventilation equipment. In the future, the obtained scientific results can be used to implement the basic elements of the maintenance system for operated equipment in the conditions of Kuzbass industrial enterprises, based on the principles of analyzing and predicting changes in the parameters of its actual condition.

Key words: vibration analysis ventilation equipment unified diagnostic criterion medium term forecasting maintenance management

Receiving date: 19.12.2024

Approval date: 22.06.2025

Publication date: 28.08.2025

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