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

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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Main Authors: Ustun, Ozgur, Yilmaz, Murat, Ali Zada, Parviz, Tuncay, R. Nejat
Format: Article
Language:English
Published: Kamianets-Podilskyi National Ivan Ohiienko University 2015
Subjects:
signal
noise
adaptive methods
oil industry
submersible pump
communication-telemetry channels
Online Access:http://mcm-tech.kpnu.edu.ua/article/view/52568
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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
collection OJS
language English
topic signal
noise
adaptive methods
oil industry
submersible pump
communication-telemetry channels
spellingShingle signal
noise
adaptive methods
oil industry
submersible pump
communication-telemetry channels
Ustun, Ozgur
Yilmaz, Murat
Ali Zada, Parviz
Tuncay, R. Nejat
Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps
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
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
work_keys_str_mv AT ustunozgur noisescancellingadaptivemethodsincontroltelemetrysystemsofoilelectricalsubmersiblepumps
AT yilmazmurat noisescancellingadaptivemethodsincontroltelemetrysystemsofoilelectricalsubmersiblepumps
AT alizadaparviz noisescancellingadaptivemethodsincontroltelemetrysystemsofoilelectricalsubmersiblepumps
AT tuncayrnejat noisescancellingadaptivemethodsincontroltelemetrysystemsofoilelectricalsubmersiblepumps
first_indexed 2024-04-08T14:58:28Z
last_indexed 2024-04-08T14:58:28Z
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