DEVELOPMENT OF A UNIFIED DIAGNOSTIC CRITERION FOR MINING SHOVEL POWER-MECHANICAL EQUIPMENT ROLLING BEARINGS’ DIAGNOSIS
The discussed issue topicality. In this paper we made a generalization of some research results in the analysis of vibration parameters generated in the dynamic equipment of electric mining shovels, operated in the coal and mining industry of Kuzbass in relation to the challenge to develop a single diagnostic criterion for the rolling bearings’ technical condition degradation assessing and predicting. The main aim of the study: Classify the diagnostic signs for detecting defects in rolling bearings used in the construction of electric mining excavators and improve the existing methodologies for normalizing vibration parameters, as well as create an algorithm for developing a common diagnostic criterion for diagnosing bearings. The methods used in the study: In 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 spectral envelope, and excess. The obtained results confirm the effectiveness of the proposed choice of diagnostic methodologies for creating a set of features and rules for creating a comprehensive criterion for evaluating and predicting the rolling bearings’ technical condition degradation. The results: The obtained scientific results prove the principal effectiveness of the proposed approach to the analysis of vibration parameters and to modeling the mining shovels’ equipment technical condition degradation using the developed unified criterion for the diagnosis of rolling bearings.