Loading…
Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current
Transient motor current signature analysis is a recently developed technique for motor diagnostics using speed transients. The whole speed range is used to create a unique stamp of each fault harmonic in the time-frequency plane. This greatly increases diagnostic reliability when compared with nontr...
Saved in:
Published in: | IEEE transactions on industrial electronics (1982) 2011-04, Vol.58 (4), p.1428-1439 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713 |
---|---|
cites | cdi_FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713 |
container_end_page | 1439 |
container_issue | 4 |
container_start_page | 1428 |
container_title | IEEE transactions on industrial electronics (1982) |
container_volume | 58 |
creator | Pineda-Sanchez, M Riera-Guasp, M Roger-Folch, J Antonino-Daviu, J A Perez-Cruz, J Puche-Panadero, R |
description | Transient motor current signature analysis is a recently developed technique for motor diagnostics using speed transients. The whole speed range is used to create a unique stamp of each fault harmonic in the time-frequency plane. This greatly increases diagnostic reliability when compared with nontransient analysis, which is based on the detection of fault harmonics at a single speed. But this added functionality comes at a price: well-established signal analysis tools used in the permanent regime, mainly the Fourier transform, cannot be applied to the nonstationary currents of a speed transient. In this paper, a new method is proposed to fill this gap. By applying a polynomial-phase transform to the transient current, a new, stationary signal is generated. This signal contains information regarding the fault components along the different regimes covered by the transient, and can be analyzed using the Fourier transform. The polynomial-phase transform is used in radar, sonar, communications, and power systems fields, but this is the first time, to the best knowledge of the authors, that it has been applied to the diagnosis of induction motor faults. Experimental results obtained with two different commercial motors with broken bars are presented to validate the proposed method. |
doi_str_mv | 10.1109/TIE.2010.2050755 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_856937223</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5475252</ieee_id><sourcerecordid>869815013</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713</originalsourceid><addsrcrecordid>eNpdkbtPwzAQhy0EEuWxI7FYLEwp51ccj6i8KoHoUFgtJ3Goq8QudjL0vydREQPT6U7f73S6D6ErAnNCQN2tl49zCmNHQYAU4gjNiBAyU4oXx2gGVBYZAM9P0VlKWwDCBREzFB-c-fIhuYRDg5e-HqreBY_fQh8ifjJD2yfsPF67zmafJu6d_8KL4Gs3YQl_pGnQbyxehXbvQ-dMm602Jlm8jsanJsRu2jwRiyFG6_sLdNKYNtnL33qOPp4e14uX7PX9ebm4f80qlvM-swCqlJUocshZUwJpVF0xXkFZl6SmBICpQkJtuaK5IqYkXJaVyIEzQpkk7BzdHvbuYvgebOp151Jl29Z4G4aki1wVRABhI3nzj9yGIfrxOF2IXDFJ6QTBAapiSCnaRu-i68aPaAJ6UqBHBXpSoH8VjJHrQ8RZa_9wwaWggrIfI7SBfQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>856937223</pqid></control><display><type>article</type><title>Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current</title><source>IEEE Xplore (Online service)</source><creator>Pineda-Sanchez, M ; Riera-Guasp, M ; Roger-Folch, J ; Antonino-Daviu, J A ; Perez-Cruz, J ; Puche-Panadero, R</creator><creatorcontrib>Pineda-Sanchez, M ; Riera-Guasp, M ; Roger-Folch, J ; Antonino-Daviu, J A ; Perez-Cruz, J ; Puche-Panadero, R</creatorcontrib><description>Transient motor current signature analysis is a recently developed technique for motor diagnostics using speed transients. The whole speed range is used to create a unique stamp of each fault harmonic in the time-frequency plane. This greatly increases diagnostic reliability when compared with nontransient analysis, which is based on the detection of fault harmonics at a single speed. But this added functionality comes at a price: well-established signal analysis tools used in the permanent regime, mainly the Fourier transform, cannot be applied to the nonstationary currents of a speed transient. In this paper, a new method is proposed to fill this gap. By applying a polynomial-phase transform to the transient current, a new, stationary signal is generated. This signal contains information regarding the fault components along the different regimes covered by the transient, and can be analyzed using the Fourier transform. The polynomial-phase transform is used in radar, sonar, communications, and power systems fields, but this is the first time, to the best knowledge of the authors, that it has been applied to the diagnosis of induction motor faults. Experimental results obtained with two different commercial motors with broken bars are presented to validate the proposed method.</description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/TIE.2010.2050755</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Diagnosis ; Fault diagnosis ; Faults ; Fourier transforms ; frequency modulation ; Harmonic analysis ; Harmonics ; Induction motors ; Motors ; Polynomials ; polynomialtransforms ; Power system harmonics ; Power system transients ; Signal analysis ; Signature analysis ; Sonar ; Time frequency analysis ; Transforms ; Transient analysis</subject><ispartof>IEEE transactions on industrial electronics (1982), 2011-04, Vol.58 (4), p.1428-1439</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713</citedby><cites>FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5475252$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Pineda-Sanchez, M</creatorcontrib><creatorcontrib>Riera-Guasp, M</creatorcontrib><creatorcontrib>Roger-Folch, J</creatorcontrib><creatorcontrib>Antonino-Daviu, J A</creatorcontrib><creatorcontrib>Perez-Cruz, J</creatorcontrib><creatorcontrib>Puche-Panadero, R</creatorcontrib><title>Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current</title><title>IEEE transactions on industrial electronics (1982)</title><addtitle>TIE</addtitle><description>Transient motor current signature analysis is a recently developed technique for motor diagnostics using speed transients. The whole speed range is used to create a unique stamp of each fault harmonic in the time-frequency plane. This greatly increases diagnostic reliability when compared with nontransient analysis, which is based on the detection of fault harmonics at a single speed. But this added functionality comes at a price: well-established signal analysis tools used in the permanent regime, mainly the Fourier transform, cannot be applied to the nonstationary currents of a speed transient. In this paper, a new method is proposed to fill this gap. By applying a polynomial-phase transform to the transient current, a new, stationary signal is generated. This signal contains information regarding the fault components along the different regimes covered by the transient, and can be analyzed using the Fourier transform. The polynomial-phase transform is used in radar, sonar, communications, and power systems fields, but this is the first time, to the best knowledge of the authors, that it has been applied to the diagnosis of induction motor faults. Experimental results obtained with two different commercial motors with broken bars are presented to validate the proposed method.</description><subject>Diagnosis</subject><subject>Fault diagnosis</subject><subject>Faults</subject><subject>Fourier transforms</subject><subject>frequency modulation</subject><subject>Harmonic analysis</subject><subject>Harmonics</subject><subject>Induction motors</subject><subject>Motors</subject><subject>Polynomials</subject><subject>polynomialtransforms</subject><subject>Power system harmonics</subject><subject>Power system transients</subject><subject>Signal analysis</subject><subject>Signature analysis</subject><subject>Sonar</subject><subject>Time frequency analysis</subject><subject>Transforms</subject><subject>Transient analysis</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdkbtPwzAQhy0EEuWxI7FYLEwp51ccj6i8KoHoUFgtJ3Goq8QudjL0vydREQPT6U7f73S6D6ErAnNCQN2tl49zCmNHQYAU4gjNiBAyU4oXx2gGVBYZAM9P0VlKWwDCBREzFB-c-fIhuYRDg5e-HqreBY_fQh8ifjJD2yfsPF67zmafJu6d_8KL4Gs3YQl_pGnQbyxehXbvQ-dMm602Jlm8jsanJsRu2jwRiyFG6_sLdNKYNtnL33qOPp4e14uX7PX9ebm4f80qlvM-swCqlJUocshZUwJpVF0xXkFZl6SmBICpQkJtuaK5IqYkXJaVyIEzQpkk7BzdHvbuYvgebOp151Jl29Z4G4aki1wVRABhI3nzj9yGIfrxOF2IXDFJ6QTBAapiSCnaRu-i68aPaAJ6UqBHBXpSoH8VjJHrQ8RZa_9wwaWggrIfI7SBfQ</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Pineda-Sanchez, M</creator><creator>Riera-Guasp, M</creator><creator>Roger-Folch, J</creator><creator>Antonino-Daviu, J A</creator><creator>Perez-Cruz, J</creator><creator>Puche-Panadero, R</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>201104</creationdate><title>Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current</title><author>Pineda-Sanchez, M ; Riera-Guasp, M ; Roger-Folch, J ; Antonino-Daviu, J A ; Perez-Cruz, J ; Puche-Panadero, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Diagnosis</topic><topic>Fault diagnosis</topic><topic>Faults</topic><topic>Fourier transforms</topic><topic>frequency modulation</topic><topic>Harmonic analysis</topic><topic>Harmonics</topic><topic>Induction motors</topic><topic>Motors</topic><topic>Polynomials</topic><topic>polynomialtransforms</topic><topic>Power system harmonics</topic><topic>Power system transients</topic><topic>Signal analysis</topic><topic>Signature analysis</topic><topic>Sonar</topic><topic>Time frequency analysis</topic><topic>Transforms</topic><topic>Transient analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pineda-Sanchez, M</creatorcontrib><creatorcontrib>Riera-Guasp, M</creatorcontrib><creatorcontrib>Roger-Folch, J</creatorcontrib><creatorcontrib>Antonino-Daviu, J A</creatorcontrib><creatorcontrib>Perez-Cruz, J</creatorcontrib><creatorcontrib>Puche-Panadero, R</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 Online</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on industrial electronics (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pineda-Sanchez, M</au><au>Riera-Guasp, M</au><au>Roger-Folch, J</au><au>Antonino-Daviu, J A</au><au>Perez-Cruz, J</au><au>Puche-Panadero, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>2011-04</date><risdate>2011</risdate><volume>58</volume><issue>4</issue><spage>1428</spage><epage>1439</epage><pages>1428-1439</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>Transient motor current signature analysis is a recently developed technique for motor diagnostics using speed transients. The whole speed range is used to create a unique stamp of each fault harmonic in the time-frequency plane. This greatly increases diagnostic reliability when compared with nontransient analysis, which is based on the detection of fault harmonics at a single speed. But this added functionality comes at a price: well-established signal analysis tools used in the permanent regime, mainly the Fourier transform, cannot be applied to the nonstationary currents of a speed transient. In this paper, a new method is proposed to fill this gap. By applying a polynomial-phase transform to the transient current, a new, stationary signal is generated. This signal contains information regarding the fault components along the different regimes covered by the transient, and can be analyzed using the Fourier transform. The polynomial-phase transform is used in radar, sonar, communications, and power systems fields, but this is the first time, to the best knowledge of the authors, that it has been applied to the diagnosis of induction motor faults. Experimental results obtained with two different commercial motors with broken bars are presented to validate the proposed method.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2010.2050755</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0278-0046 |
ispartof | IEEE transactions on industrial electronics (1982), 2011-04, Vol.58 (4), p.1428-1439 |
issn | 0278-0046 1557-9948 |
language | eng |
recordid | cdi_proquest_journals_856937223 |
source | IEEE Xplore (Online service) |
subjects | Diagnosis Fault diagnosis Faults Fourier transforms frequency modulation Harmonic analysis Harmonics Induction motors Motors Polynomials polynomialtransforms Power system harmonics Power system transients Signal analysis Signature analysis Sonar Time frequency analysis Transforms Transient analysis |
title | Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T16%3A07%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diagnosis%20of%20Induction%20Motor%20Faults%20in%20Time-Varying%20Conditions%20Using%20the%20Polynomial-Phase%20Transform%20of%20the%20Current&rft.jtitle=IEEE%20transactions%20on%20industrial%20electronics%20(1982)&rft.au=Pineda-Sanchez,%20M&rft.date=2011-04&rft.volume=58&rft.issue=4&rft.spage=1428&rft.epage=1439&rft.pages=1428-1439&rft.issn=0278-0046&rft.eissn=1557-9948&rft.coden=ITIED6&rft_id=info:doi/10.1109/TIE.2010.2050755&rft_dat=%3Cproquest_cross%3E869815013%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c364t-e009b7c586063fb01f9dc34c0bdb1d210039870de492691ab147bc56043123713%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=856937223&rft_id=info:pmid/&rft_ieee_id=5475252&rfr_iscdi=true |