Artificial intelligence in problems of leak definition from the oil pipeline

Détails bibliographiques
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
Auteur principal:	Mamonova T. E. Tatiana Egorovna
Autres auteurs:	Vasilyeva T. N.
Résumé:	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
Langue:	anglais
Publié:	2014
Sujets:	электронный ресурс труды учёных ТПУ oil pipeline artificial intelligence methods leak from the oil pipeline pressure in pipe искусственный интеллект утечки нефтепроводы
Accès en ligne:	http://dx.doi.org/10.1109/MEACS.2014.6986846
Format:	Électronique Chapitre de livre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961

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