Timely intellectual control of safety and reliability of operation of power-mechanical equipment during transportation of oil and petroleum products

To create a system Tyumen Industrial University developed a new safety control technology and methodological support using the apparatus of neural network technologies, machine learning and graph models, which allow assessing the indicators of the technical condition, reliability and safety of objec...

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Bibliographic Details
Main Authors: Zemenkova, M. Yu, Gladenko, A. A., Zemenkov, Yu. D., Chizhevskaya, E. L., Polyanskaya, O. I.
Format: Conference Proceeding
Language:English
Subjects:
Control equipment
Expert systems
Gas pipelines
Machine learning
Neural networks
Petroleum pipelines
Petroleum products
Predictive control
Product safety
Reliability analysis
Reliability aspects
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Summary:To create a system Tyumen Industrial University developed a new safety control technology and methodological support using the apparatus of neural network technologies, machine learning and graph models, which allow assessing the indicators of the technical condition, reliability and safety of objects of the oil and gas storage system. As an example, the methodological aspects of monitoring during the operation of power-mechanical equipment of oil pipelines are considered. The use of the developed expert systems allows predictive control of man-made events and increases reliability, timely preventing possible undesirable events.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0075848