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

Title of the article: Development of methods for diagnosing equipment of electric mining shovels

Year: 2020, Issue: 3, Pages: 34-41

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2020-3-34-41

Abstract: The urgency of the discussed issue. As part of the solution to the problem of ensuring the safe operation of extremely worn-out mining shovels, a methodology for diagnosing electric and mechanical equipment by vibration parameters was developed. It allows you to record and analyze diagnostic information, taking into account the structural and kinematic features of the objects of research. The developed diagnostic technique will allow us to obtain data for solving the urgent task of developing common criteria for assessing and predicting the degradation processes of equipment for electric mining shovels.
The main aim of the study: Development and justification of a methodology for diagnosing the components and assemblies of electric mining shovels based on the results of an integrated approach to the diagnosis of complex mechanical systems by vibration parameters, which allows timely detection of defects in the diagnosed equipment and the use of the obtained data to scalarize multidimensional diagnostic signs and develop common diagnostic criteria for assessing and predicting degradation processes and technical condition 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. The obtained results confirm the effectiveness of the proposed choice of diagnostic methodologies for development of a set of features and rules in order to develop a comprehensive criterion for evaluating and predicting the degradation of the technical condition of mining equipment.
The results: The obtained scientific results allow us to create an effective method for diagnosing electric and mechanical equipment of mining shovels. This methodology takes into account the design features and operating conditions of extremely worn-out mining equipment, which makes it suitable for highly efficient assessment of the technical condition and prediction of the development of defects in the main components of mining shovels.

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

Receiving date: 10.06.2020

Publication date: 04.09.2020

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