An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer
The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to i...
Gespeichert in:
Veröffentlicht in: | Journal of physics. Conference series 2022-12, Vol.2378 (1), p.12041 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 12041 |
container_title | Journal of physics. Conference series |
container_volume | 2378 |
creator | Huai, Qing Ji, Yirun Li, Yu Song, Peng Hu, Yinghong Yuan, Xi Zhao, Yuan Gao, Jing Xie, Lifang |
description | The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to improve FOCT’s performance in the situation with high-level noise. The VMD parameter is adaptively optimized based on target signal and the effective decomposed sub-signals are further denoised with stationary wavelet transform functions. In order to investigate the feasibility of the proposed algorithm, both simulated current signal in PSCAD/EMTDC environment and recorded data of current in converter station of Zhangbei dc gird are considered in this paper. The test result indicates that the proposed denoising algorithm could filter out noise and retain sufficient feature information in FOCT’s output. |
doi_str_mv | 10.1088/1742-6596/2378/1/012041 |
format | Article |
fullrecord | <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2754539471</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2754539471</sourcerecordid><originalsourceid>FETCH-LOGICAL-c225t-361b96c09cbe6b097fcc865ac12dd70861af181059b675b2279f7369776dc49f3</originalsourceid><addsrcrecordid>eNqFkF9PwyAUxYnRxDn9DJL4ZlIHtIXyuHTOP9kyE6evhFLqWNZSoXvQTy9NzYyJibwA955zuPwAuMToBqMsm2CWkIimnE5IzMJ1gjBBCT4Co0Pn-HDOslNw5v0WoTgsNgKbaQNXbWdq86lL-CqdkZ2xjdzBpS01nGll69Z60xdhIX0QzXRjjTfNG1zqbmNLWFkH56ZwOrIhSQVvvndONx1cO9n40K61Owcnldx5ffG9j8HL_Had30eL1d1DPl1EipC0i2KKC04V4qrQtECcVUplNJUKk7JkKKNYVjjDKOUFZWlBCOMViylnjJYq4VU8BldDbuvs-177Tmzt3oUPeUFYmqQxTxgOKjaolLPeO12J1plaug-Bkeixih6Y6OGJHqvAYsAanNeD09j2J_rxKX_-LRRt2Q8T_yH-74kvfGOHvw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2754539471</pqid></control><display><type>article</type><title>An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Institute of Physics Open Access Journal Titles</source><source>IOPscience extra</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Huai, Qing ; Ji, Yirun ; Li, Yu ; Song, Peng ; Hu, Yinghong ; Yuan, Xi ; Zhao, Yuan ; Gao, Jing ; Xie, Lifang</creator><creatorcontrib>Huai, Qing ; Ji, Yirun ; Li, Yu ; Song, Peng ; Hu, Yinghong ; Yuan, Xi ; Zhao, Yuan ; Gao, Jing ; Xie, Lifang</creatorcontrib><description>The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to improve FOCT’s performance in the situation with high-level noise. The VMD parameter is adaptively optimized based on target signal and the effective decomposed sub-signals are further denoised with stationary wavelet transform functions. In order to investigate the feasibility of the proposed algorithm, both simulated current signal in PSCAD/EMTDC environment and recorded data of current in converter station of Zhangbei dc gird are considered in this paper. The test result indicates that the proposed denoising algorithm could filter out noise and retain sufficient feature information in FOCT’s output.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/2378/1/012041</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Algorithms ; Decomposition ; Noise reduction ; Physics ; Transformers ; Wavelet transforms</subject><ispartof>Journal of physics. Conference series, 2022-12, Vol.2378 (1), p.12041</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c225t-361b96c09cbe6b097fcc865ac12dd70861af181059b675b2279f7369776dc49f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/2378/1/012041/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>315,782,786,27931,27932,38875,38897,53847,53874</link.rule.ids></links><search><creatorcontrib>Huai, Qing</creatorcontrib><creatorcontrib>Ji, Yirun</creatorcontrib><creatorcontrib>Li, Yu</creatorcontrib><creatorcontrib>Song, Peng</creatorcontrib><creatorcontrib>Hu, Yinghong</creatorcontrib><creatorcontrib>Yuan, Xi</creatorcontrib><creatorcontrib>Zhao, Yuan</creatorcontrib><creatorcontrib>Gao, Jing</creatorcontrib><creatorcontrib>Xie, Lifang</creatorcontrib><title>An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to improve FOCT’s performance in the situation with high-level noise. The VMD parameter is adaptively optimized based on target signal and the effective decomposed sub-signals are further denoised with stationary wavelet transform functions. In order to investigate the feasibility of the proposed algorithm, both simulated current signal in PSCAD/EMTDC environment and recorded data of current in converter station of Zhangbei dc gird are considered in this paper. The test result indicates that the proposed denoising algorithm could filter out noise and retain sufficient feature information in FOCT’s output.</description><subject>Algorithms</subject><subject>Decomposition</subject><subject>Noise reduction</subject><subject>Physics</subject><subject>Transformers</subject><subject>Wavelet transforms</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkF9PwyAUxYnRxDn9DJL4ZlIHtIXyuHTOP9kyE6evhFLqWNZSoXvQTy9NzYyJibwA955zuPwAuMToBqMsm2CWkIimnE5IzMJ1gjBBCT4Co0Pn-HDOslNw5v0WoTgsNgKbaQNXbWdq86lL-CqdkZ2xjdzBpS01nGll69Z60xdhIX0QzXRjjTfNG1zqbmNLWFkH56ZwOrIhSQVvvndONx1cO9n40K61Owcnldx5ffG9j8HL_Had30eL1d1DPl1EipC0i2KKC04V4qrQtECcVUplNJUKk7JkKKNYVjjDKOUFZWlBCOMViylnjJYq4VU8BldDbuvs-177Tmzt3oUPeUFYmqQxTxgOKjaolLPeO12J1plaug-Bkeixih6Y6OGJHqvAYsAanNeD09j2J_rxKX_-LRRt2Q8T_yH-74kvfGOHvw</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Huai, Qing</creator><creator>Ji, Yirun</creator><creator>Li, Yu</creator><creator>Song, Peng</creator><creator>Hu, Yinghong</creator><creator>Yuan, Xi</creator><creator>Zhao, Yuan</creator><creator>Gao, Jing</creator><creator>Xie, Lifang</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20221201</creationdate><title>An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer</title><author>Huai, Qing ; Ji, Yirun ; Li, Yu ; Song, Peng ; Hu, Yinghong ; Yuan, Xi ; Zhao, Yuan ; Gao, Jing ; Xie, Lifang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-361b96c09cbe6b097fcc865ac12dd70861af181059b675b2279f7369776dc49f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Decomposition</topic><topic>Noise reduction</topic><topic>Physics</topic><topic>Transformers</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huai, Qing</creatorcontrib><creatorcontrib>Ji, Yirun</creatorcontrib><creatorcontrib>Li, Yu</creatorcontrib><creatorcontrib>Song, Peng</creatorcontrib><creatorcontrib>Hu, Yinghong</creatorcontrib><creatorcontrib>Yuan, Xi</creatorcontrib><creatorcontrib>Zhao, Yuan</creatorcontrib><creatorcontrib>Gao, Jing</creatorcontrib><creatorcontrib>Xie, Lifang</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huai, Qing</au><au>Ji, Yirun</au><au>Li, Yu</au><au>Song, Peng</au><au>Hu, Yinghong</au><au>Yuan, Xi</au><au>Zhao, Yuan</au><au>Gao, Jing</au><au>Xie, Lifang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>2378</volume><issue>1</issue><spage>12041</spage><pages>12041-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to improve FOCT’s performance in the situation with high-level noise. The VMD parameter is adaptively optimized based on target signal and the effective decomposed sub-signals are further denoised with stationary wavelet transform functions. In order to investigate the feasibility of the proposed algorithm, both simulated current signal in PSCAD/EMTDC environment and recorded data of current in converter station of Zhangbei dc gird are considered in this paper. The test result indicates that the proposed denoising algorithm could filter out noise and retain sufficient feature information in FOCT’s output.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/2378/1/012041</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1742-6588 |
ispartof | Journal of physics. Conference series, 2022-12, Vol.2378 (1), p.12041 |
issn | 1742-6588 1742-6596 |
language | eng |
recordid | cdi_proquest_journals_2754539471 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Institute of Physics Open Access Journal Titles; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
subjects | Algorithms Decomposition Noise reduction Physics Transformers Wavelet transforms |
title | An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T21%3A47%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Optimized%20Variational%20Mode%20Decomposition%20based%20Denoising%20Method%20for%20Fibre-optical%20Current%20Transformer&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Huai,%20Qing&rft.date=2022-12-01&rft.volume=2378&rft.issue=1&rft.spage=12041&rft.pages=12041-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/2378/1/012041&rft_dat=%3Cproquest_iop_j%3E2754539471%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2754539471&rft_id=info:pmid/&rfr_iscdi=true |