Artificial intelligence in problems of leak definition from the oil pipeline; Mechanical Engineering, Automation and Control Systems (MEACS)

Detalles Bibliográficos
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Autor Principal: Mamonova T. E. Tatiana Egorovna
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Outros autores: Vasilyeva T. N.
Summary:Title screen
In this work the mathematical equations describing change of pressure in the pipeline are presented. Transitional characteristics of settlement pressure in a pipe are shown at various coordinates of leak. Use of artificial intelligence methods, such as expert systems and neural networks for determination of leak coordinate from the oil pipeline is specified. The neural network by means of the GUI interface and the visual Simulink application of a MatLab package is constructed.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglés
Publicado: 2014
Subjects:
Acceso en liña:http://dx.doi.org/10.1109/MEACS.2014.6986846
Formato: MixedMaterials Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961
Descripción
Summary:Title screen
In this work the mathematical equations describing change of pressure in the pipeline are presented. Transitional characteristics of settlement pressure in a pipe are shown at various coordinates of leak. Use of artificial intelligence methods, such as expert systems and neural networks for determination of leak coordinate from the oil pipeline is specified. The neural network by means of the GUI interface and the visual Simulink application of a MatLab package is constructed.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1109/MEACS.2014.6986846