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

Dettagli Bibliografici
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Autore principale: Mamonova T. E. Tatiana Egorovna
Ente Autore: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Altri autori: Vasilyeva T. N.
Riassunto: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
Lingua:inglese
Pubblicazione: 2014
Soggetti:
Accesso online:http://dx.doi.org/10.1109/MEACS.2014.6986846
Natura: MixedMaterials Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961
Descrizione
Riassunto: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