УДК 681.518.5

https://doi.org/10.21440/2307-2091-2019-2-100-106

P. B. Gerike / News of the Ural State Mining University. 2019. Issue 2(54), pp. 100-106

The relevance of the work. This paper discusses some results of the analysis of methodological approaches to the development of a single diagnostic criterion suitable for performing an estimation of the actual state of electric machines and the development of predictive degradation models.
The purpose of the work: to summarize the results of the analysis of the parameters of vibrations generated by the operation of electric machines of various designs, which will allow classifying some defects of this equipment by basic groups and formalizing diagnostic signs for ease of use when developing the code of the automated control algorithm for complex systems according to frequency sets of diagnostic signs; to show that, under the conditions of the planned repairs system still operating in the coal and mining industries of Kuzbass, priority should be given only to short-term predictive mathematical models, which make it possible to assess the probability of the occurrence of equipment failures in the near future; to develop an algorithm for creating a unified diagnostic criterion suitable for identifying and assessing the degree of danger of electrical defects of mining fleet. Methods of the study. The study substantiated the need to use the results of an integrated approach to the diagnosis of electric machines according to parameters of vibration generated during their work, while simultaneously using several diagnostic methodologies, including spectral analysis, analysis of high-frequency vibration envelope, wavelet decomposition, and running down analysis. It is shown that an integrated approach to the diagnosis of vibration parameters opens up broad opportunities for the timely diagnosis of defects in the electromechanical equipment of mining machines, including defects that are still in their infancy. Results of the work. The results of the studies confidently prove the fundamental possibility of creating a new relevant single diagnostic criterion for identifying electrical defects, which can be used as a basic element of the maintenance system for machines according to its actual technical condition. The application of the developed criterion will make it possible to increase the efficiency of the maintenance management of complex mechanical systems and predict changes in the actual state of electric machines operated in the coal and mining industries.

Keywords: vibration monitoring, electric motors, electrical defects, mining equipment, maintenance management

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