Authors: P.B. Gericke

Title of the article: Improvement of the methodology for estimating vibration parameters using the example of mining equipment

Year: 2018, Issue: 5, Pages: 22-28

Branch of knowledge: ROAD, CONSTRUCTION AND LIFTING AND TRANSPORT VEHICLES

Index UDK: 681.518.5

DOI: 10.26730/1816-4528-2018-5-22-28

Abstract: The urgency of the discussed issue. In this paper, we consider some aspects of the cycle of ongoing research related to the improvement of the methodology for normalizing the parameters of mechanical oscillations generated by the operation of electromechanical equipment of mining machines, which is of great practical importance for identifying criteria that allow estimating and predicting the degradation of the technical state of complex mechanical systems. The main aim of the study: Make a choice of directions for improving existing methodologies for assessing vibra-tion based on the results of analysis of vibration mechanisms and aggregates of mining equipment. Prove in practice the effectiveness of the proposed recommendations for the selection of sets of diagnostic features and created spectral masks to perform an assessment of the actual state of diagnostic facilities. Develop prerequisites for creating a group of common diagnostic criteria suitable for detecting defects and predicting the degradation of the technical condition of mining equipment. The methods used in the study: Within the framework of the work, the necessity of using the results of an integrated approach to the diagnosis of electromechanical equipment of mining machines, based on the parameters of vibration generated during their operation is substantiated. This approach implies the use of several diagnostic methodologies, including spectral analysis, spectral envelope analysis, wavelet transform, excess and analysis of the rotor aggregate run-out characteristics. It is shown that a comprehensive approach to diagnostics by vibration parameters opens wide opportunities for timely diagnosis of defects in equipment of mining machines, including those at the stage of nucleation. The results: The obtained scientific results prove the principled consistency of the proposed approach to the im-provement of the methodological aspects of the evaluation of the vibration of mining machines and the effectiveness of the developed spectral masks. In addition, this area opens the possibility of creating a group of effective diagnostic criteria suitable for detecting defects in mining equipment, the use of which will improve the efficiency of maintenance management for the equipment operated in the coal industry of Kuzbass.

Key words: vibration analysis mining machines predictive modeling mining shovels electromechanical equipment non-destructive testing

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