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Article information
2023 , Volume 28, ¹ 4, p.35-44
Kapitonova T.A., Struchkova G.P., Sleptsov O.I.
Using bayesian networks to establish recommendations for the case of failure of the northern main gas pipeline
The paper proposes a model for probabilistic analysis of accidents and proposing recommendations for failures of the main gas pipeline Mastakh–Berge–Yakutsk using the bayesian network and a database obtained on the basis of long-term observations. The choice using bayesian trust networks (BTN) relies on the random mechanism of the input factors of the problem along with the heterogeneous and incomplete data collection. In addition, models based on the BTN have the ability to self-improve as information is accumulated. The proposed BTN allows identifying the main factors leading to failures and accidents, leading to possible recommendations for repair and timely response to emergency incidents, reducing downtime and minimize the damage caused, while increasing the safety operation level of pipeline transport in the North
Keywords: main gas pipelines, bayesian networks, permafrost, acyclic graph, monitoring, emergencies, failures, recommendations for repair
Author(s):
Kapitonova Tamara Afanasyevna
PhD.
Office: Federal Research Center the Yakut Scientific Center, V.P. Larionov Institute of Physical-Technical Problems of the North, Siberian Branch of the Russian Academy of Science
Address: 677980, Russia, Yakutsk, 1 Oktyabrskaya str
Phone Office: (914) 223-25-72
E-mail: kapitonova@iptpn.ysn.ru
SPIN-code: 8605-0573Struchkova Galina Prokopyevna
PhD.
Office: Federal Research Center the Yakut Scientific Center, V.P. Larionov Institute of Physical-Technical Problems of the North, Siberian Branch of the Russian Academy of Science
Address: 677980, Russia, Yakutsk, 1 Oktyabrskaya str
Phone Office: (411)2390550
E-mail: pandoramy8@list.ru
SPIN-code: 7688-1700Sleptsov Oleg Ivkentyevich
Dr.
Office: Federal Research Center the Yakut Scientific Center, V.P. Larionov Institute of Physical-Technical Problems of the North, Siberian Branch of the Russian Academy of Science
Address: 677980, Russia, Yakutsk, 1 Oktyabrskaya str
Phone Office: (914) 271-78-54
E-mail: oisleptsov@mail.ru
SPIN-code: 1715-2744
Bibliography link:
Kapitonova T.A., Struchkova G.P., Sleptsov O.I. Using bayesian networks to establish recommendations for the case of failure of the northern main gas pipeline // Computational technologies. 2023. V. 28. ¹ 4. P. 35-44
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