Authors: P.B. Gericke

Title of the article: Development of complex of diagnostic rules to detect defects in the equipment of mining shovels

Year: 2015, Issue: 3, Pages: 3-10

Branch of knowledge: Mining machines

Index UDK: 53.083(430.1)

DOI: -

Abstract: This paper presents the results of the analysis of vibration characteristics of dynamic equipment mining shovels. A set of more than 60 diagnostic rules for automated detection of major damage to property on the basis of selective frequency bands warning systems for predictive maintenance of mining machines. Provides detailed classification of defects dynamic equipment mining shovels, which are selected on the basis of specific and substantiated methods of vibration analysis, the most suitable for rapid and precision of the automated control of a technical condition researched objects. The efficiency of an integrated diagnostic approach for evaluating the technical condition of the mechanisms in the parameters of mechanical vibrations. It is proved that only the widespread use of modern methods of vibration diagnostics and non-destructive testing allows early detection of equipment defects of mining shovels. The results of these researches demonstrate the need to move categorically repair and maintenance departments of industrial enterprises in the service system technology on its actual technical condition, a platform for the implementation of the basic elements of the concept which will serve as a designed complex of diagnostic rules detecting defects on the analysis of the parameters of mechanical vibrations.

Key words: vibration analysis mining shovel dynamic equipment spectral analysis predictive maintenance system

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