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Technique for operational diagnosis of pipelines of energy systems and complexes

https://doi.org/10.30724/1998-9903-2020-22-6-188-201

Abstract

THE PURPOSE. To consider the problems of reliability of pipeline systems of housing and communal services. To analyze existing methods for assessing the technical condition of pipelines. To develop an improved technique that allows you to search for various types of defects in pipelines. To develop a device for inertial excitation of low-frequency diagnostic vibration vibrations. To develop software in the LabVIEW environment for collecting, storing and processing signals from a sensitive sensor (piezoelectric sensor) installed on a pipeline. To conduct a series of experimental studies to te st the proposed methodology. METHODS. The method of inertial excitation of vibrations was used to excite vibrations in the wall of the investigated pipeline. To search for the natural frequencies of vibrations of the pipeline under study, mathematical mode ling methods were used, implemented in the ANSYS software package. During the experiments, the fast Fourier transform method was used to process the signals coming from the piezoelectric sensor. RESULTS. The article presents a technique for assessing the t echnical condition of pipelines, as well as a device for inertial excitation of vibrations. The article presents the results of experimental studies on a fiberglass pipeline, the results showed that when an oscillatory wave passes through the wall of a defect-free pipeline, its amplitude changes insignificantly. If there is a defect in the wall of the investigated pipeline, the vibration amplitude will be much weaker due to the dissipation of vibrational energy in the place of the defect. Thereby, it is pos sible to determine not only the presence of a defect, but also its size by the degree of attenuation of the signal amplitude CONCLUSION. The proposed technique is the basis for the creation of a new measuring and diagnostic complex for vibration control of pipelines.

About the Authors

R. Z. Shakurova
Kazan State Power Engineering University
Russian Federation

Rozalina Z. Shakurova

Kazan



S. O. Gaponenko
Kazan State Power Engineering University
Russian Federation

Sergey O. Gaponenko

Kazan



A. E. Kondratiev
Kazan State Power Engineering University
Russian Federation

Alexander E. Kondratiev

Kazan



References

1. Gaponenko SO. Acoustic-resonance information-measuring complex and methodology for monitoring the location of buried pipelines: abstract of dis. candidate of technical sciences. Kazan state power engineering university. Kazan. 2017. P. 22

2. Gaponenko SO, Nazarychev SA, Gaponenko SO, et al. Determination of informative frequency ranges for buried pipeline location control. Helix. 2018;8(1):2481-2487.

3. Gaponenko SO, Kondratiev AE, et. al. Measuring and diagnostic complex for determining the location of hidden pipelines. News of higher educational institutions. Energy problems. 2013;4:138-141.

4. Gaponenko SO, Kondratiev AE. Model installation for the development of a method for determining the location of hidden pipelines. News of higher educational institutions. Energy problems.2014;7(8):123-129.

5. Gaponenko SO, Kondratiev AE. Promising methods and techniques for searching for hidden channels, cavities and pipelines by vibroacoustic method. Bulletin of the North Caucasus Federal University. 2015;2(47):9-13.

6. Gaponenko SO, Kondratiev AE. Methodology for the search for hidden hollow objects in the ground. Scientific progress - creativity of the young. 2017; 2(4):115-118.

7. Shakurova RZ, Gaponenko SO. Development of a reliable and energy efficient method for diagnosing the technical condition of power equipment. Materials of the XIV International Youth Scientific Conference on Natural Science and Technical Disciplines "Scientific Progress - Creativity of Young".2019;2:195-197.

8. Shakurova RZ, Gaponenko SO. Improving the reliability of energy systems by determining the technical condition of pipelines.Materials of the XIV International Youth Scientific Conference "Tinchurin Readings". 2019; 184-187.

9. Gaponenko SO, Shakurova RZ. Improving the efficiency of energy systems and energy transportation systems using mathematical modeling methods. Materials of the XXIV International Youth Scientific Conference "TUPOLEV READINGS (school of young scientists)". 2019; 641-644.

10. Talanin AA, Mazanov AM, Zakalyukina LA, et. al. Review of quality control methods for welded joints. NiKa. 2017.

11. Stepanov AP, Stepanov MA. Method for magnetic flaw detection of extended ferromagnetic structures. Modern technologies. System analysis. Modeling. 2012;1(33).

12. Korotin AI, Lazarev AL, Svyatkina GN. Application of ultrasonic control methods to assess the quality of joints in metal structures in modern conditions. Ogarev-Online. 2015;13(54).

13. Chistyakova AV, Orlov VA, Chuhin VA. Diagnostics of the technical condition of metal pipelines. Environmental management. 2016;2.

14. Belov AA, Ivanov YuD, et al. Recommendations for choosing a method for monitoring the technical condition of pipelines. Actual problems of the humanities and natural sciences. 2015;1-10.

15. Zachwieja J. Effectiveness of diagnosing damage to an industrial pump rotor by analysing its vibrations. Diagnostics. 2019;20(1):33-39.

16. Zachwieja J. Pipeline stress analysis under supporting structure vibrations. Diagnostics. 2017;18(2):23-30.

17. Stein Y, Zonova N, et al. Development and improvement of methods of diagnostics of heating systems in modern conditions. IOP Conference Series: Earth and Environmental Science. 2017; 90(1),012139.

18. Gaponenko SO, Kondratiev AE, Shakurova RZ. Method of inertial excitation of mechanical vibrations in an elastic shell. Patent of Russia No. 2705515 dated 07.11.2019.

19. Hudonogova LI. Development of a system for remote calibration of measuring instruments based on the use of technological capabilities of the Lab VIEW software environment. Well-being vectors: economy and society. 2013;4(10).

20. Tychkov AYU, Churakov PP. Development of virtual measuring generators for functional diagnostics. Measurement. Monitoring. Control. The control. 2015;2(12).

21. Gaponenko SO, Shakurova RZ, Kondrat'ev AE, et al. Condition monitoring system. Certificate of state registration of a computer program №2019618374 dated 01.07.2019.

22. Gaponenko SO, Shakurova RZ, Kondrat'ev AE, et al. Contactless monitoring system. Certificate of state registration of a computer program. №2019617616. dated 06/18/2019.

23. Mrachkovskij OD, Vishnevyj SV. Modeling a spectral signal analyzer in the LabVIEW software environment. Bulletin of NTUU "KPI". Radio engineering, Radio apparatus engineering. 2008;37.

24. Gaponenko SO, Shakurova RZ, et al. Acoustic-resonance method for control of the location of hidden hollow objects. IOP Conf. Series:Journal of Physics:Conf. Series. 2019; 1328,012054.

25. Gaponenko SO, Shakurova RZ, et al. Information-measuring system for monitoring the location of underground gas pipelines on the basis of improved acoustic resonance method. IOP Conf. Series: Journal of Physics: Conf. Series. 2019; 1328,012055.

26. Gaponenko SO, Shakurova RZ, et al. Improving the methodology for assessing the technical condition of equipment during the transportation of energy carrier in energy systems and complexes. E3S Web of Conferences. 2019; 124,01021.

27. Gaponenko SO, Shakurova RZ, et al. Improving the efficiency of energy complexes and heat supply systems using mathematical modeling methods at the operational stage. E3S Web of Conferences. 2019;124,05029.

28. Gaponenko SO, Shakurova RZ, et al. Development of software and hardware vomplex based on theoretical modeling and experimental study of linearly extended energy facilities on their technical condition. Helix. 2019;9(5):5621-5630.

29. Verhman SI, Kulagin VN, et al. Multipurpose Analysis Software. ANSYS. ONV.1998;5.

30. Grinev MA, Anoshkin AN, et al. Computational and experimental studies of natural frequencies and vibration modes of a straightening apparatus blade made of polymer composite materials. PNRPU Bulletin. Mechanics. 2016.


Review

For citations:


Shakurova R.Z., Gaponenko S.O., Kondratiev A.E. Technique for operational diagnosis of pipelines of energy systems and complexes. Power engineering: research, equipment, technology. 2020;22(6):188-201. (In Russ.) https://doi.org/10.30724/1998-9903-2020-22-6-188-201

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ISSN 1998-9903 (Print)
ISSN 2658-5456 (Online)