Authors: P.B. Gericke

Title of the article: Classification of defects of generator groups of draglines applicable to creating clipping algorithms

Year: 2019, Issue: 2, Pages: 22-29

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2019-2-22-29

Abstract: The urgency of the discussed issue. This article presents the results of research that made it possible toclassify typical defects inherent in the generator groups of draglines as applied to solving the problem of creating clipping algorithms for the initial diagnostic data.
The main aim of the study: Based on the classification of diagnostic signs of the development of defects in energy-mechanical equipment, develop an algorithm for clipping the original vibroacoustic signal. Using the example of dragline generator groups, test the methodology for creating algorithms suitable for developing common diagnostic criteria for assessing the actual state of complex mechanical systems.
The methods used in the study: As part of the research, an integrated approach to the results of the analysis of the parameters of mechanical vibrations was implemented, including spectral analysis in the extended frequency and dynamic range, excess, analysis of the coasting characteristics. It is shown that this combination of vibroanalysis methods is optimal from the point of view of formalizing diagnostic criteria and clipping the initial diagnostic information.
The results: The obtained results prove the effectiveness of the proposed approach to the creation of clipping algorithms suitable for the development of uniform criteria for assessing the state and predicting the processes of degradation of mining equipment. The proposed approaches to the improvement of the methodology for rationing the vibration of mining machines will make it possible to make a qualitative transition to the service system of mining equipment according to its actual condition.

Key words: vibration analysis energomechanical equipment mining shovel defects of electrical machine

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