Utilizza questo identificativo per citare o creare un link a questo documento: http://elartu.tntu.edu.ua/handle/lib/29030
Titolo: Information Technology of Surveys and Diagnostics of Underground Pipelines
Autori: Dzhala, Roman
Dzhala, Vasyl’
Horon, Bohdan
Senyuk, Oleh
Verbenets’, Bohdan
Affiliation: Karpenko Physico-Mechanical Institute of the NAS of Ukraine (Lviv, Ukraine)
Bibliographic description (Ukraine): Dzhala R., Dzhala V., Horon B., Senyuk O., Verbenets’ B. Information Technology of Surveys and Diagnostics of Underground Pipelines // 2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT), September 16–18, 2019, Lviv, Ukraine. P. 214–218.
Conference/Event: 2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT)
Data: 16-set-2019
Date of entry: 23-ott-2019
Country (code): UA
Place of the edition/event: Lviv, Ukraine
Page range: 214–218
Abstract: The problems of inspections, nondestructive testing, and diagnostics of underground pipelines from the standpoint of the structure and functioning of modern cyber-physical systems are discussed. Method and apparatus for contactless measurement of currents with memory and automatic computer processing of results improve efficiency and information of testing to ensure the reliability and extension of trouble-free operation of pipelines.
URI: http://elartu.tntu.edu.ua/handle/lib/29030
ISBN: 978-1-7281-3561-8
References (Ukraine): [1] R. M. Dzhala, “Bases of inspection and control of corrosion state of underground pipelines”, Fracture mechanics and strength of materials: Reference manual, ed.-in-chief V.V. Panasyuk, vol. 11: Strength and durability of oil and gas pipelines and storage tanks, ed. H. M. Nykyforchyn, Chapter 6. Lviv: Spolom, 2009, pp. 143–184 [in Ukrainian].
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[12] V. Lozovan, R. Dzhala, R. Skrynkovskyy, and V. Yuzevych, “Detection of specific features in the functioning of a system for the anti-corrosion protection of underground pipelines at oil and gas enterprises using neural networks,” Eastern-European Journal of Enterprise Technologies, vol. 1, No 5 (97), pp. 20–27. 2019.
[13] V. Lozovan, R. Skrynkovskyy, V. Yuzevych, M. Yasinskyi, and G. Pawlowski, “Forming the toolset for development of a system to control quality of operation of underground pipelines by oil and gas enterprises with the use of neural networks,” Eastern-European Journal of Enterprise Technologies, vol. 2, No 5 (98). pp. 41–48. 2019.
[14] L.Yuzevych, R. Skrynkovskyy, V. Yuzevych, V. Lozovan, G. Pawlowski, M. Yasinskyi, and I. Ogirko, “Improving the diagnostics of underground pipelines at oil-and-gas enterprises based on determining hydrogen exponent (PH) of the soil media applying neural networks,” Eastern-European Journal of Enterprise Technologies, vol. 4, No 5 (100). pp. 56–64. 2019.
Content type: Conference Abstract
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