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

Dades bibliogràfiques
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Autor principal: Mamonova T. E. Tatiana Egorovna
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Altres autors: Vasilyeva T. N.
Sumari: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:anglès
Publicat: 2014
Matèries:
Accés en línia:http://dx.doi.org/10.1109/MEACS.2014.6986846
Format: MixedMaterials Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961
Descripció
Sumari: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