Reliability evaluation of automated monitoring of rock cutting tool condition

Authors

  • Ігор Іванович Чигур Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine https://orcid.org/0000-0002-0023-3328

DOI:

https://doi.org/10.15587/1729-4061.2014.26253

Keywords:

control, system, condition, drilling, identification, recognition, prediction, rock cutting, chisel, reliability

Abstract

When drilling oil and gas wells, the problem of reliable detection of time of rock cutting tool replacement because of its wear remains unsolved. To solve it, the automated control system of the rock cutting tool condition with the functions of identifying, recognizing, predicting and selecting the strategy of monitoring the exhaustion of the tool was developed. To increase the system performance, the analysis of its subsystems in terms of their impact on the overall control reliability index was carried out. It was found that recognition and prediction subsystems are the most responsible. To implement the algorithms of these subsystems, it is proposed to use neuro and fazzi- artificial intelligence technologies that have proven their efficiency in such tasks. The results obtained are important since they indicate the effective ways to solve the problem, moreover they can be also applied to other problems of this type.

Author Biography

Ігор Іванович Чигур, Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019

Associate Professor

Department of  Process Automation and Monitoring in Ecology

References

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Published

2014-07-24

How to Cite

Чигур, І. І. (2014). Reliability evaluation of automated monitoring of rock cutting tool condition. Eastern-European Journal of Enterprise Technologies, 4(7(70), 34–37. https://doi.org/10.15587/1729-4061.2014.26253

Issue

Vol. 4 No. 7(70) (2014): Applied mechanics

Section

Applied mechanics

License

Copyright (c) 2014 Ігор Іванович Чигур

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