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

Podrobná bibliografie
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Hlavní autor: Mamonova T. E. Tatiana Egorovna
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Další autoři: Vasilyeva T. N.
Shrnutí: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
Jazyk:angličtina
Vydáno: 2014
Témata:
On-line přístup:http://dx.doi.org/10.1109/MEACS.2014.6986846
Médium: MixedMaterials Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961
Popis
Shrnutí: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