Authors: P.B. Gericke
Title of the article: New approaches to assessing the actual technical condition of electrical drilling rigs
Year: 2018, Issue: 1, Pages: 118-124
Branch of knowledge: Transport, mine and construction engineering
Index UDK: 53.083(430.1)
DOI: 10.26730/1999-4125-2018-1-118-124
Abstract: This article presents the results of researches in the field of improvement of methodological approaches to an estimation of an actual technical condition of electrical drilling rigs on the basis of the complex analysis of vibration parameters and using the uniform diagnostic criteria suitable for development of mathematical degradation models of change in a condition of complex mechanical systems. The analysis of diagnostic features of power mechanical equipment of drilling rigs allowed to classify the defects of this type of mining machines in several major groups, which together correspond to more than one hundred and twenty diagnostic signs by vibration parameters. These signs have been classified and formalized for ease of use in the develop-ment of the algorithm code of the automated control of complex systems in the parameters generated by mechanical vibrations. As part of this study the efficiency of the comprehensive diagnostic approach to assess the technical condition of the parameters generated by the vibration of machinery was proved. It is shown that only with the extensive use of modern methods of vibration analysis and nondestructive testing it becomes possible to detect in time the defects of mining machinery and to develop predictive models of change in their technical condition. The platform for the implementation of elements of the concept of system maintenance technology in its actual technical condition may serve as a developed set of diagnostic rules to identify defects on the analysis of mechanical fluctuations of parameters and to create a unified diagnostic criteria for assessment of the state, based on the analysis of parameters of mechanical vibrations developed by the number of basic groups of diagnosed equipment defects. The results of these studies demonstrate the ability to create groups of diagnostic criteria, which can be used to carry out forecast of diagnostic parameters.
Key words: vibration analysis a single diagnostic criterion predictive modeling drilling rigs
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