Authors: P.B. Guericke

Title of the article: The choice of the diagnostic criteria for assessing the actual technical condition of dewatering elevators

Year: 2016, Issue: 5, Pages: 41-47

Branch of knowledge: Transport, mine and construction engineering

Index UDK: 53.083(430.1)

DOI: -

Abstract: In this paper substantiates the necessity of applying the results of comprehensive diagnostic approach to the assessment of the technical condition of the equipment dewatering elevators on the analysis of the parameters generated when the vibration. It is proved that only widespread use of modern methods of vibration diagnostics and non-destructive testing provides an opportunity for effective diagnosis of defects in energy-mechanical equipment. As part of this paper we analyze the existing methodological approaches to the development of uniform diagnostic criteria, based on the principles of vibration diagnostics of complex mechanical systems. A statistical summary of the results of analysis of vibration parameters generated by equipment of the dewatering of elevators (a sampling of 20 units), allowed for the distribution of defects for reasons of their occurrence and their degree of danger. In addition, the cluster has been formed from more than one hundred and diagnostic features for vibration parameters, formalized for ease of use in the development of the algorithm code of the automated control of complex systems on the frequency set of basic features. This cluster, as well as create a single diagnostic criterion for the assessment and prediction of technical condition, can serve as components of a platform for the implementation of the main elements of the service system of the actual state. The results of short-term adaptive modeling of degradation processes is the best fit into the concept of the coal and mining equipment maintenance system in its actual state. This research prove categorically the possibility of creating a single criterion for evaluating the technical condition of energy-mechanical elevator equipment, which is a prerequisite for effective short-term forecasting of the simulated diagnostic parameters.

Key words: vibration analysis the spectral mask maintenance management crushing and screening and coal concentrating equipment

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