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Intellectual Control of Dangerous States of the Facilities of Main Hydrocarbon Transport Systems in Adaptive Expert Systems
Author(s) -
Yu. D. Zemenkov
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/272/3/032087
Subject(s) - reliability (semiconductor) , pipeline (software) , parametric statistics , expert system , reliability engineering , work (physics) , computer science , decision support system , control (management) , engineering , data mining , artificial intelligence , mechanical engineering , power (physics) , statistics , physics , mathematics , quantum mechanics , programming language
The work deals with the development of methods for assessing the reliability of oil and gas equipment and systems for adaptive decision support systems. At the Department of Hydrocarbon Transportation, studies are underway to create decision support systems with predictive, warning and reliability assessment functions. The proposed methodology can be used for adaptive expert systems for monitoring reliability in real time. The technique allows identifying the state of the technological facility and predicting the probabilities of parametric failure by the given criteria. The proposed method has been tested and can be used when estimating the reliability of oil and gas pipeline technical systems.

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