International scientific journal

ISSN: 2663-0419 (electronic version)

ISSN: 2218-8754 (print version)

International scientific journal

ISSN: 2663-0419 (electronic version)

ISSN: 2218-8754 (print version)

SCImago Journal & Country Rank

Multilevel technical diagnostics as a tool for managing the safety and reliability of oil and gas facilities

Spasibov V.M., Zemenkov Y.D., Bastrikov S.N., Zemenkova M.Y., Chizhevskaya E.L.

Industrial University of Tyumen, Russia 38, Volodarskiy str., Tyumen, 625000:



The activity of industrial facilities of the fuel and energy complex is associated with ensuring the reliability, and safety of technological processes and technical diagnostics is one of the effective tools for solving this problem. Of particular importance in this case is the early prediction of an emergency situation for objects with a high accident price. At the same time, two aspects are important. Firstly, it is impossible to miss the signal about the beginning of the development of abnormal operation of the equipment, which inevitably leads to an accident; secondly, it is necessary to clearly filter out false signals, since they can lead to an unmotivated shutdown of the equipment and economic losses. The way out of this situation is possible in the integration of various methods, so that various hindrances, fundamental for one method, have a weak effect on the results given by another method.

The paper considers three diagnostic methods: brittle strain-sensitive coatings, acoustic emission and generation of aerosol particles. The research presented in the paper is aimed at studying the method of early diagnosis of dangerous conditions of objects by combining the methods discussed above. The paper presents the results of experiments in assessing the loading of test samples before plastic deformation and destruction are achieved, which allow us to conclude that a multi-level diagnostic method is possible for early warning of the occurrence of a pre-emergency condition of the object.


Keywords: multilevel diagnostics, reliability management, hazardous conditions, safety of process facilities



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DOI: 10.33677/ggianas20230200105