Artificial intelligence in problems of leak definition from the oil pipeline

Detaylı Bibliyografya
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS): proceedings of the International Conference, Tomsk, 16-18 October, 2014/ National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE). [4 p.].— , 2014
Yazar: Mamonova T. E. Tatiana Egorovna
Müşterek Yazar: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Diğer Yazarlar: Vasilyeva T. N.
Özet: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
Dil:İngilizce
Baskı/Yayın Bilgisi: 2014
Konular:
Online Erişim:http://dx.doi.org/10.1109/MEACS.2014.6986846
Materyal Türü: Elektronik Kitap Bölümü
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961
Diğer Bilgiler
Özet: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