Authors: P.B. Gericke, P.V. Eshherkin

Title of the article: Using the results of vibration analysis to create of unified diagnostic criterion

Year: 2020, Issue: 3, Pages: 42-48

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2020-3-42-48

Abstract: The urgency of the discussed issue. In this paper we made a generalization of some results in the analysis of vibration parameters of research generated in the dynamic equipment of electric mining shovels, operated in the coal and mining industry of Kuzbass in relation to the challenge to develop a single diagnostic criterion for assessing and predicting degradation of technical condition of rolling bearings and couplings.
The main aim of the study: The main purpose of this work is the development of a methodology for creating algorithms for common diagnostic criterion based on the results of an integrated approach to the diagnosis of mechanical systems by vibration parameters and scalarization of different signs of identifying de-fects in mining shovels equipment.
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. The obtained results confirm the effectiveness of the proposed choice of diagnostic methodologies for creating a set of features and rules for creating a comprehensive criterion for evaluating and predicting the degradation of the technical condition of mining equipment.
The results: The obtained scientific results prove the principal effectiveness of the proposed approach to the analysis of vibration parameters and modeling the degradation of the technical condition of equipment for mining shovels using the developed unified criterion.

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

Receiving date: 10.06.2020

Publication date: 04.09.2020

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