Cumulative Sum Algorithms for Automatic Detection of Gas Well Parameter Changes; IFAC-PapersOnLine; Vol. 50, iss. 1 : 20th IFAC World Congress, July 2017

Cumulative Sum Algorithms for Automatic Detection of Gas Well Parameter Changes; IFAC-PapersOnLine; Vol. 50, iss. 1 : 20th IFAC World Congress, July 2017

Détails bibliographiques
Parent link:IFAC-PapersOnLine
Vol. 50, iss. 1 : 20th IFAC World Congress, July 2017.— 2017.— [P. 14614-14619]
Collectivités auteurs: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий, Национальный исследовательский Томский политехнический университет Учебно-научный центр "Организация и технологии высшего профессионального образования"
Autres auteurs: Burkatovskaya Yu. B. Yuliya Borisovna, Vorobeychikov S. E. Sergey Erikovich, Kudinov A. V. Anton Viktorovich, Francuzskaya E. O. Evgeniya Olegovna
Résumé:Title screen
The problem of the change point detection in a sequence of random variables is considered. The task arises in control of technological processes, particularly, in oil and gas production management. Some equipment parameters are to be controlled in order to detect a change of the equipment characteristics and, consequently, a breakdown of its technological regime. As a rule, the data observed are stochastic with the unknown distribution. In the paper a non-parametric method for detection a change in the mean or in the variance of data is developed and some modifications are proposed. All the algorithms do not use the information concerning the distribution function of observations before and after the change point. The algorithms are applied to detect change points of the characteristics of a gas well.
Режим доступа: по договору с организацией-держателем ресурса
Langue:anglais
Publié: 2017
Sujets:
электронный ресурс
труды учёных ТПУ
system failures
time-series analysiss
equential control algorithms
change point detection
сбои
временные ряды
алгоритмы
автоматическое обнаружение
газовые скважины
Accès en ligne:https://doi.org/10.1016/j.ifacol.2017.08.1334
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667215

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