Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps

The main ideas of this paper are that only some from more than 10 MATLAB Adaptive Methods library may be useful and can be recommended to filter out High-Noises in similar Control Telemetry Channels of Electric Power Components like ESP Systems: only four of applied have shown successfully good resu...

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Дата:2015
Автори: Ustun, Ozgur, Yilmaz, Murat, Ali Zada, Parviz, Tuncay, R. Nejat
Формат: Стаття
Мова:English
Опубліковано: Kamianets-Podilskyi National Ivan Ohiienko University 2015
Онлайн доступ:http://mcm-tech.kpnu.edu.ua/article/view/52568
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Назва журналу:Mathematical and computer modelling. Series: Technical sciences

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Mathematical and computer modelling. Series: Technical sciences
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spelling mcmtechkpnueduua-article-525682019-03-06T10:46:36Z Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps Ustun, Ozgur Yilmaz, Murat Ali Zada, Parviz Tuncay, R. Nejat signal noise adaptive methods oil industry submersible pump communication-telemetry channels The main ideas of this paper are that only some from more than 10 MATLAB Adaptive Methods library may be useful and can be recommended to filter out High-Noises in similar Control Telemetry Channels of Electric Power Components like ESP Systems: only four of applied have shown successfully good results in the early prediction of the ESP motor real insulation disruption (like Sign-error, Sign-data and Sign-sign filters). The best among the ten analyzed adaptive filter algorithms was recognized to be, The Normalized LMS FIR filter algorithm — adaptfilt.nlms Kamianets-Podilskyi National Ivan Ohiienko University 2015-03-18 Article Article application/pdf http://mcm-tech.kpnu.edu.ua/article/view/52568 10.32626/2308-5916.2015-12.117-124 Mathematical and computer modelling. Series: Technical sciences; 2015: Mathematical and computer modelling. Series: Technical sciences. Issue 12; 117-124 Математичне та комп'ютерне моделювання. Серія: Технічні науки ; 2015: Математичне та комп'ютерне моделювання. Серія: Технічні науки. Випуск 12; 117-124 2308-5916 10.32626/2308-5916.2015-12 en http://mcm-tech.kpnu.edu.ua/article/view/52568/48600 Авторське право (c) 2021 Математичне та комп'ютерне моделювання. Серія: Технічні науки
institution Mathematical and computer modelling. Series: Technical sciences
baseUrl_str
datestamp_date 2019-03-06T10:46:36Z
collection OJS
language English
topic_facet signal
noise
adaptive methods
oil industry
submersible pump
communication-telemetry channels
format Article
author Ustun, Ozgur
Yilmaz, Murat
Ali Zada, Parviz
Tuncay, R. Nejat
spellingShingle Ustun, Ozgur
Yilmaz, Murat
Ali Zada, Parviz
Tuncay, R. Nejat
Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
author_facet Ustun, Ozgur
Yilmaz, Murat
Ali Zada, Parviz
Tuncay, R. Nejat
author_sort Ustun, Ozgur
title Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
title_short Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
title_full Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
title_fullStr Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
title_full_unstemmed Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
title_sort noises cancelling adaptive methods in control telemetry systems of oil electrical submersible pumps
description The main ideas of this paper are that only some from more than 10 MATLAB Adaptive Methods library may be useful and can be recommended to filter out High-Noises in similar Control Telemetry Channels of Electric Power Components like ESP Systems: only four of applied have shown successfully good results in the early prediction of the ESP motor real insulation disruption (like Sign-error, Sign-data and Sign-sign filters). The best among the ten analyzed adaptive filter algorithms was recognized to be, The Normalized LMS FIR filter algorithm — adaptfilt.nlms
publisher Kamianets-Podilskyi National Ivan Ohiienko University
publishDate 2015
url http://mcm-tech.kpnu.edu.ua/article/view/52568
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first_indexed 2025-07-17T10:12:54Z
last_indexed 2025-07-17T10:12:54Z
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