Artificial intelligence in problems of leak definition from the oil pipeline

Bibliographic Details
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
Main Author: Mamonova T. E. Tatiana Egorovna
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Other Authors: 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
Published: 2014
Subjects:
Online Access:http://dx.doi.org/10.1109/MEACS.2014.6986846
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961