Authors: P.B. Gericke, B.L. Gericke
Title of the article: Application of uniform criteria for diagnostics of compressors of electric mining shovels
Year: 2022, Issue: 3, Pages: 13-22
Branch of knowledge: 05.05.06 Mining machines
Index UDK: 681.518.5
DOI: 10.26730/1816-4528-2022-3-13-22
Abstract: Within the framework of this research, an attempt was made to generalize the results of the analysis of the vibration parameters generated during the operation of reciprocating compressors used in pneumatic systems of mining shovels in relation to solving the issue of developing an algorithm for a single diagnostic criterion suitable for identifying and assessing the degree of risk of developing equipment defects in mining machines. This work is focused on analyzing the parameters of vibration loading of the power-mechanical equipment of mining machines, the main goal of which is to develop a methodology for creating unified diagnostic criteria suitable for assessing and predicting the degradation processes of the technical state of complex mechanical systems. In this work, to create unified criteria, we used approaches of mathematical analysis using a multidimensional space of diagnostic features described using algorithms for optimal scalarization of diagnostic data obtained using an integrated approach to diagnostics of machines by vibration parameters, including spectral analysis in an extended frequency and dynamic range, synchronous accumulation and analysis of the spectrum envelope. Analysis of diagnostic information obtained on a sample of ten recipro-cating compressors installed on electric draglines, made it possible to identify equipment that was in an unacceptable technical condition and to test the developed single diagnostic criterion. The results of the conducted approbation convincingly testify to the correctness of the proposed methodological approach to the development of unified criteria based on the analysis of vibration parameters that can replace many inconvenient diagnostic signs and rules of vibration analysis and reduce the influence of the human factor on the results of monitoring the parameters of the actual state of technical devices operated in coal mines.
Key words: vibration analysis mining shovels a single diagnostic criterion reciprocating compressors mining equipment maintenance management
Receiving date: 18.11.2021
Approval date: 20.04.2022
Publication date: 01.07.2022
This work is licensed under a Creative Commons Attribution 4.0 License.