Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review
Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required sensors, the development of advanced signal processing techniques that are suitable fo...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on industrial informatics 2022-05, Vol.18 (5), p.2895-2908 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2908 |
---|---|
container_issue | 5 |
container_start_page | 2895 |
container_title | IEEE transactions on industrial informatics |
container_volume | 18 |
creator | Zamudio-Ramirez, Israel Osornio-Rios, Roque A Antonino-Daviu, Jose Alfonso Razik, Hubert Romero-Troncoso, Rene |
description | Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required sensors, the development of advanced signal processing techniques that are suitable for flux data analysis, along with other inherent advantages provided by this technology, are relevant aspects that have allowed the proliferation of flux-based techniques. This article reviews the most recent scientific contributions related to the development and application of flux-based methods for the monitoring of rotating electric machines. Particularly, aspects related to the main sensors used to acquire magnetic flux signals as well as the leading signal processing and classification techniques are commented on. The discussion is focused on the diagnosis of different types of faults in the most common rotating electric machines used in industry, namely: squirrel cage induction machines, wound rotor induction machines, permanent magnet machines, and wound field synchronous machines. A critical insight of the techniques developed in the area is provided and several open challenges are also discussed. |
doi_str_mv | 10.1109/TII.2021.3070581 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2625366344</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9394749</ieee_id><sourcerecordid>2625366344</sourcerecordid><originalsourceid>FETCH-LOGICAL-c325t-85b218e67a317bd1576bb0d92c2eeb0284cbd41a6212c34edc68cf7a6f97997d3</originalsourceid><addsrcrecordid>eNo9kMFrwjAUh8vYYM7tPtglsNMOdS9JkzS7iegUlIG4c0jTVCNd45Lq5n-_isPTezy-3w_elySPGAYYg3xdzWYDAgQPKAhgOb5KelhmOAVgcN3tjOGUEqC3yV2MWwAqgMpeslzodWNbZ9Ck3v-iYaPrY3QRVT6gdmPRyDela51v0MI3rvXBNWvkKzSurWlDF1tos3GNjW9oiJb24OzPfXJT6Trah__ZTz4n49Voms4_3mej4Tw1lLA2zVlBcG650BSLosRM8KKAUhJDrC2A5JkpygxrTjAxNLOl4bmphOaVFFKKkvaTl3PvRtdqF9yXDkfltVPT4VydbkBxLjmjB9yxz2d2F_z33sZWbf0-dM9GRThhlHOaZR0FZ8oEH2Ow1aUWgzpZVp1ldbKs_i13kadzxFlrL7ikMhOZpH_v53aG</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2625366344</pqid></control><display><type>article</type><title>Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review</title><source>IEEE Electronic Library (IEL)</source><creator>Zamudio-Ramirez, Israel ; Osornio-Rios, Roque A ; Antonino-Daviu, Jose Alfonso ; Razik, Hubert ; Romero-Troncoso, Rene</creator><creatorcontrib>Zamudio-Ramirez, Israel ; Osornio-Rios, Roque A ; Antonino-Daviu, Jose Alfonso ; Razik, Hubert ; Romero-Troncoso, Rene</creatorcontrib><description>Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required sensors, the development of advanced signal processing techniques that are suitable for flux data analysis, along with other inherent advantages provided by this technology, are relevant aspects that have allowed the proliferation of flux-based techniques. This article reviews the most recent scientific contributions related to the development and application of flux-based methods for the monitoring of rotating electric machines. Particularly, aspects related to the main sensors used to acquire magnetic flux signals as well as the leading signal processing and classification techniques are commented on. The discussion is focused on the diagnosis of different types of faults in the most common rotating electric machines used in industry, namely: squirrel cage induction machines, wound rotor induction machines, permanent magnet machines, and wound field synchronous machines. A critical insight of the techniques developed in the area is provided and several open challenges are also discussed.</description><identifier>ISSN: 1551-3203</identifier><identifier>EISSN: 1941-0050</identifier><identifier>DOI: 10.1109/TII.2021.3070581</identifier><identifier>CODEN: ITIICH</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Condition monitoring ; Data analysis ; Electric machines ; Engineering Sciences ; Fault diagnosis ; Induction motors ; industry ; Machinery condition monitoring ; Magnetic cores ; Magnetic field measurement ; Magnetic flux ; magnetic flux analysis ; Magnetic sensors ; Permanent magnets ; Rotating machinery ; Rotation ; Sensors ; Signal classification ; Signal processing ; Synchronous machines</subject><ispartof>IEEE transactions on industrial informatics, 2022-05, Vol.18 (5), p.2895-2908</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-85b218e67a317bd1576bb0d92c2eeb0284cbd41a6212c34edc68cf7a6f97997d3</citedby><cites>FETCH-LOGICAL-c325t-85b218e67a317bd1576bb0d92c2eeb0284cbd41a6212c34edc68cf7a6f97997d3</cites><orcidid>0000-0003-0192-4259 ; 0000-0003-3192-5332 ; 0000-0003-1898-2228 ; 0000-0003-0868-2918 ; 0000-0002-8499-3948</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9394749$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9394749$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-03189653$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zamudio-Ramirez, Israel</creatorcontrib><creatorcontrib>Osornio-Rios, Roque A</creatorcontrib><creatorcontrib>Antonino-Daviu, Jose Alfonso</creatorcontrib><creatorcontrib>Razik, Hubert</creatorcontrib><creatorcontrib>Romero-Troncoso, Rene</creatorcontrib><title>Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review</title><title>IEEE transactions on industrial informatics</title><addtitle>TII</addtitle><description>Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required sensors, the development of advanced signal processing techniques that are suitable for flux data analysis, along with other inherent advantages provided by this technology, are relevant aspects that have allowed the proliferation of flux-based techniques. This article reviews the most recent scientific contributions related to the development and application of flux-based methods for the monitoring of rotating electric machines. Particularly, aspects related to the main sensors used to acquire magnetic flux signals as well as the leading signal processing and classification techniques are commented on. The discussion is focused on the diagnosis of different types of faults in the most common rotating electric machines used in industry, namely: squirrel cage induction machines, wound rotor induction machines, permanent magnet machines, and wound field synchronous machines. A critical insight of the techniques developed in the area is provided and several open challenges are also discussed.</description><subject>Condition monitoring</subject><subject>Data analysis</subject><subject>Electric machines</subject><subject>Engineering Sciences</subject><subject>Fault diagnosis</subject><subject>Induction motors</subject><subject>industry</subject><subject>Machinery condition monitoring</subject><subject>Magnetic cores</subject><subject>Magnetic field measurement</subject><subject>Magnetic flux</subject><subject>magnetic flux analysis</subject><subject>Magnetic sensors</subject><subject>Permanent magnets</subject><subject>Rotating machinery</subject><subject>Rotation</subject><subject>Sensors</subject><subject>Signal classification</subject><subject>Signal processing</subject><subject>Synchronous machines</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFrwjAUh8vYYM7tPtglsNMOdS9JkzS7iegUlIG4c0jTVCNd45Lq5n-_isPTezy-3w_elySPGAYYg3xdzWYDAgQPKAhgOb5KelhmOAVgcN3tjOGUEqC3yV2MWwAqgMpeslzodWNbZ9Ck3v-iYaPrY3QRVT6gdmPRyDela51v0MI3rvXBNWvkKzSurWlDF1tos3GNjW9oiJb24OzPfXJT6Trah__ZTz4n49Voms4_3mej4Tw1lLA2zVlBcG650BSLosRM8KKAUhJDrC2A5JkpygxrTjAxNLOl4bmphOaVFFKKkvaTl3PvRtdqF9yXDkfltVPT4VydbkBxLjmjB9yxz2d2F_z33sZWbf0-dM9GRThhlHOaZR0FZ8oEH2Ow1aUWgzpZVp1ldbKs_i13kadzxFlrL7ikMhOZpH_v53aG</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Zamudio-Ramirez, Israel</creator><creator>Osornio-Rios, Roque A</creator><creator>Antonino-Daviu, Jose Alfonso</creator><creator>Razik, Hubert</creator><creator>Romero-Troncoso, Rene</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-0192-4259</orcidid><orcidid>https://orcid.org/0000-0003-3192-5332</orcidid><orcidid>https://orcid.org/0000-0003-1898-2228</orcidid><orcidid>https://orcid.org/0000-0003-0868-2918</orcidid><orcidid>https://orcid.org/0000-0002-8499-3948</orcidid></search><sort><creationdate>20220501</creationdate><title>Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review</title><author>Zamudio-Ramirez, Israel ; Osornio-Rios, Roque A ; Antonino-Daviu, Jose Alfonso ; Razik, Hubert ; Romero-Troncoso, Rene</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-85b218e67a317bd1576bb0d92c2eeb0284cbd41a6212c34edc68cf7a6f97997d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Condition monitoring</topic><topic>Data analysis</topic><topic>Electric machines</topic><topic>Engineering Sciences</topic><topic>Fault diagnosis</topic><topic>Induction motors</topic><topic>industry</topic><topic>Machinery condition monitoring</topic><topic>Magnetic cores</topic><topic>Magnetic field measurement</topic><topic>Magnetic flux</topic><topic>magnetic flux analysis</topic><topic>Magnetic sensors</topic><topic>Permanent magnets</topic><topic>Rotating machinery</topic><topic>Rotation</topic><topic>Sensors</topic><topic>Signal classification</topic><topic>Signal processing</topic><topic>Synchronous machines</topic><toplevel>online_resources</toplevel><creatorcontrib>Zamudio-Ramirez, Israel</creatorcontrib><creatorcontrib>Osornio-Rios, Roque A</creatorcontrib><creatorcontrib>Antonino-Daviu, Jose Alfonso</creatorcontrib><creatorcontrib>Razik, Hubert</creatorcontrib><creatorcontrib>Romero-Troncoso, Rene</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>IEEE transactions on industrial informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zamudio-Ramirez, Israel</au><au>Osornio-Rios, Roque A</au><au>Antonino-Daviu, Jose Alfonso</au><au>Razik, Hubert</au><au>Romero-Troncoso, Rene</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review</atitle><jtitle>IEEE transactions on industrial informatics</jtitle><stitle>TII</stitle><date>2022-05-01</date><risdate>2022</risdate><volume>18</volume><issue>5</issue><spage>2895</spage><epage>2908</epage><pages>2895-2908</pages><issn>1551-3203</issn><eissn>1941-0050</eissn><coden>ITIICH</coden><abstract>Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required sensors, the development of advanced signal processing techniques that are suitable for flux data analysis, along with other inherent advantages provided by this technology, are relevant aspects that have allowed the proliferation of flux-based techniques. This article reviews the most recent scientific contributions related to the development and application of flux-based methods for the monitoring of rotating electric machines. Particularly, aspects related to the main sensors used to acquire magnetic flux signals as well as the leading signal processing and classification techniques are commented on. The discussion is focused on the diagnosis of different types of faults in the most common rotating electric machines used in industry, namely: squirrel cage induction machines, wound rotor induction machines, permanent magnet machines, and wound field synchronous machines. A critical insight of the techniques developed in the area is provided and several open challenges are also discussed.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TII.2021.3070581</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-0192-4259</orcidid><orcidid>https://orcid.org/0000-0003-3192-5332</orcidid><orcidid>https://orcid.org/0000-0003-1898-2228</orcidid><orcidid>https://orcid.org/0000-0003-0868-2918</orcidid><orcidid>https://orcid.org/0000-0002-8499-3948</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1551-3203 |
ispartof | IEEE transactions on industrial informatics, 2022-05, Vol.18 (5), p.2895-2908 |
issn | 1551-3203 1941-0050 |
language | eng |
recordid | cdi_proquest_journals_2625366344 |
source | IEEE Electronic Library (IEL) |
subjects | Condition monitoring Data analysis Electric machines Engineering Sciences Fault diagnosis Induction motors industry Machinery condition monitoring Magnetic cores Magnetic field measurement Magnetic flux magnetic flux analysis Magnetic sensors Permanent magnets Rotating machinery Rotation Sensors Signal classification Signal processing Synchronous machines |
title | Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T19%3A29%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Magnetic%20Flux%20Analysis%20for%20the%20Condition%20Monitoring%20of%20Electric%20Machines:%20A%20Review&rft.jtitle=IEEE%20transactions%20on%20industrial%20informatics&rft.au=Zamudio-Ramirez,%20Israel&rft.date=2022-05-01&rft.volume=18&rft.issue=5&rft.spage=2895&rft.epage=2908&rft.pages=2895-2908&rft.issn=1551-3203&rft.eissn=1941-0050&rft.coden=ITIICH&rft_id=info:doi/10.1109/TII.2021.3070581&rft_dat=%3Cproquest_RIE%3E2625366344%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2625366344&rft_id=info:pmid/&rft_ieee_id=9394749&rfr_iscdi=true |