Artificial intelligence in problems of leak definition from the oil pipeline; Mechanical Engineering, Automation and Control Systems (MEACS)
| Parent link: | Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.] |
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| Автор: | |
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| Інші автори: | |
| Резюме: | 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 |
| Мова: | Англійська |
| Опубліковано: |
2014
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| Предмети: | |
| Онлайн доступ: | http://dx.doi.org/10.1109/MEACS.2014.6986846 |
| Формат: | Електронний ресурс Частина з книги |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638961 |
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| 200 | 1 | |a Artificial intelligence in problems of leak definition from the oil pipeline |f T. E. Mamonova, T. N. Vasilyeva | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 5 tit.] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | 0 | |0 (RuTPU)RU\TPU\network\3200 |t Mechanical Engineering, Automation and Control Systems (MEACS) |o proceedings of the International Conference, Tomsk, 16-18 October, 2014 |f National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE) |v [4 p.] |d 2014 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a oil pipeline | |
| 610 | 1 | |a artificial intelligence methods | |
| 610 | 1 | |a leak from the oil pipeline | |
| 610 | 1 | |a pressure in pipe | |
| 610 | 1 | |a искусственный интеллект | |
| 610 | 1 | |a утечки | |
| 610 | 1 | |a нефтепроводы | |
| 700 | 1 | |a Mamonova |b T. E. |c specialist in the field of Informatics and computer engineering |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences |f 1983- |g Tatiana Egorovna |3 (RuTPU)RU\TPU\pers\33716 |9 17347 | |
| 701 | 1 | |a Vasilyeva |b T. N. | |
| 712 | 0 | 2 | |a Томский политехнический университет |b Институт кибернетики, ИК |c 2010-2017 |9 27025 |
| 801 | 2 | |a RU |b 63413507 |c 20161226 |g RCR | |
| 856 | 4 | |u http://dx.doi.org/10.1109/MEACS.2014.6986846 | |
| 942 | |c BK | ||