Scientific and technical journal

«Automation and Informatization of the fuel and energy complex»

ISSN 0132-2222

Automation and Informatization of the fuel and energy complex
Comparative analysis of cluster-variation and neural network approaches to the problem of triangulation evaluation when constructing a system of monitoring of gas pipelines protection zones

UDC: 519.652
DOI: 10.33285/2782-604X-2022-4(585)-6-11

Authors:

CHEPEL EVGENY N.1,
BULYCHEV YURY G.1,
ZHUCHKOV KONSTANTIN N.2,
ZAVYALOV ALEXEY P.2

1 "Gradient", All-Russian Research Institute, Rostov-on-Don, Russian Federation
2 National University of Oil and Gas "Gubkin University", Moscow, Russian Federation

Keywords: gas pipeline security zone, triangulation measuring system, cluster-variational method, perceptron, neural network

Annotation:

Taking into account the growing necessity to control the protected zones of gas pipelines and to monitor movement in minimum distances zones, the task of determining the radiation source location becomes relevant. The authors of the article comparatively analyze the cluster-variation method and a multilayer perceptron for the task of the target location based on measurements of a triangulation measuring system. The results of modeling and comparison are presented. Useful practical recommendations on the obtained results application in the existing and future triangulation systems are given.

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