On the main pipelines, accidents of different severity occur each year, which can damage the health and life of people, accompanied by huge material damage. In this connection, the importance of developing and implementing new methods for analyzing reliability and methods for monitoring the safe operation of linearly extended objects becomes important. Currently, in addressing these issues, much attention is paid to neural network technologies.
ܶ, main gas pipelines, ܝ fire and explosionܝ hazards, ܝ monitoring, ܝ neuralܝ network model, algorithm of the functioning
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