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035 _a(RuTPU)RU\TPU\network\3358
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100 _a20150217a2014 k y0engy50 ba
101 0 _aeng
105 _aa z 101zy
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aArtificial intelligence in problems of leak definition from the oil pipeline
_fT. E. Mamonova, T. N. Vasilyeva
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: 5 tit.]
330 _aIn 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 _aРежим доступа: по договору с организацией-держателем ресурса
463 0 _0(RuTPU)RU\TPU\network\3200
_tMechanical Engineering, Automation and Control Systems (MEACS)
_oproceedings of the International Conference, Tomsk, 16-18 October, 2014
_fNational Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE)
_v[4 p.]
_d2014
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _aoil pipeline
610 1 _aartificial intelligence methods
610 1 _aleak from the oil pipeline
610 1 _apressure in pipe
610 1 _aискусственный интеллект
610 1 _aутечки
610 1 _aнефтепроводы
700 1 _aMamonova
_bT. E.
_cspecialist in the field of Informatics and computer engineering
_cAssociate Professor of Tomsk Polytechnic University, candidate of technical sciences
_f1983-
_gTatiana Egorovna
_2stltpush
_3(RuTPU)RU\TPU\pers\33716
701 1 _aVasilyeva
_bT. N.
712 0 2 _aНациональный исследовательский Томский политехнический университет (ТПУ)
_bИнститут кибернетики (ИК)
_bКафедра интегрированных компьютерных систем управления (ИКСУ)
_h131
_2stltpush
_3(RuTPU)RU\TPU\col\18701
801 2 _aRU
_b63413507
_c20161226
_gRCR
856 4 _uhttp://dx.doi.org/10.1109/MEACS.2014.6986846
942 _cBK