Abstract
Background. Without any claims for comprehensive coverage, this article presents some results of modeling technical degradation of the rolling bearings used in the power and mechanical components of mining machines. The results of comprehensive diagnostics of mining equipment based on vibration parameters made it possible to propose a new approach to modeling the processes of changing the actual state of mining machines. Objective. The research aims at performing mid-term forecasting of defect development in the rolling bearings installed in the power and mechanical components of mining machines as well as at demonstrating the efficiency of the new unified diagnostic criterion when it is used as a simulated parameter in an adaptive mathematical model of degradation. Research methods. Results of a complex diagnostic approach to analyzing vibration parameters were applied in the this research, including the spectral analysis in the extended frequency and dynamic range, spectrum envelope and kurtosis analysis. The results obtained confirm the efficiency of the proposed set of diagnostic features and defect detection rules in analyzing mechanical vibration parameters as applied to the task of creating a unified diagnostic criterion for assessing the technical condition of rolling bearings.
Published Version
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