Authors: P.B. Gericke

Title of the article: Identification of defects in energy-mechanical equipment of crushing and classification plants

Year: 2020, Issue: 2, Pages: 27-34

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2020-2-27-34

Abstract: The urgency of the discussed issue. This article summarizes some of the research results in the analysis of vibration parameters generated during the operation of equipment of crushing and classification plants of various types and structures, as well as an attempt to create a reserve for the development of common diagnostic criteria for assessing and predicting the processes of changing the actual technical condition of the diagnosed equipment.
The main aim of the study: The main target of this work is to develop a classification of diagnostic signs and rules for identifying defects in energy-mechanical equipment of crushing plants, suitable for diagnosing defects, regardless of their development stage and causes, as well as to improve existing methodologies for normalizing vibration parameters and creating algorithms for common diagnostic criteria evaluation of the actual state of the subject equipment.
The methods used in the study: In the framework of 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 envelope of the spectrum, analysis of the acceleration / stick-out characteristics, and analysis of the temporal realization of the initial vibroacoustic signals. The results of the research confirm the need for the proposed integrated approach for the analysis of vibration parameters and prove the effectiveness of the proposed set of diagnostic methodologies for identifying typical defects in the equipment of crushing plants of various types and structures.
The results: The scientific results obtained in the framework of this study prove the ef-fectiveness of the proposed approach to the analysis of vibration parameters using common diagnostic criteria. Prediction of degradation processes on extremely worn-out equipment, taking into account the implementation of the created unified diagnostic criteria, will open up a promising direction for introducing elements of the equipment maintenance system at coal operations of Russia in accordance with its actual condition.

Key words: vibration analysis crushing plants maintenance management mechanical defects predictive modeling

Receiving date: 16.02.2020

Publication date: 30.06.2020

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