New calculation method of correlation function applied to leak localization; Mechanical Engineering, Automation and Control Systems (MEACS)

New calculation method of correlation function applied to leak localization; Mechanical Engineering, Automation and Control Systems (MEACS)

Dades bibliogràfiques
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Autor principal: Avramchuk V. S. Valery Stepanovich
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС), Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Altres autors: Efremov A. A. Aleksandr Aleksandrovich, Goncharov V. I. Valery Ivanovich
Sumari:Title screen
This paper proposes an application of calculation method of time-frequency correlation function to problems of pipeline leak detection and localization. Presented method avoids iterative procedures of detecting informative frequency range. The results of the study demonstrate better accuracy in leak localization as compared with other approaches by obtaining additional data on the signal and improving signal-to-noise ratio.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:anglès
Publicat: 2014
Matèries:
электронный ресурс
труды учёных ТПУ
leak detection
pipelines
correlation analysis
корреляционные функции
локализация
утечки
Accés en línia:http://dx.doi.org/10.1109/MEACS.2014.6986899
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639029
Descripció
Sumari:Title screen
This paper proposes an application of calculation method of time-frequency correlation function to problems of pipeline leak detection and localization. Presented method avoids iterative procedures of detecting informative frequency range. The results of the study demonstrate better accuracy in leak localization as compared with other approaches by obtaining additional data on the signal and improving signal-to-noise ratio.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1109/MEACS.2014.6986899

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