Demagnetization Fault Diagnosis in Surface Mounted Permanent Magnet Synchronous Motors
In this paper, a novel method is proposed to detect demagnetization fault in surface mounted permanent magnet synchronous motors (SMPMSMs). Hence, a theoretical analysis is presented for feature extraction and pattern recognition via torque analysis. In this analysis, impacts of the saturation profi...
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| Veröffentlicht in: | IEEE transactions on magnetics 2013-03, Vol.49 (3), p.1185-1192 |
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| container_title | IEEE transactions on magnetics |
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| creator | Ebrahimi, Bashir Mahdi Faiz, Jawad |
| description | In this paper, a novel method is proposed to detect demagnetization fault in surface mounted permanent magnet synchronous motors (SMPMSMs). Hence, a theoretical analysis is presented for feature extraction and pattern recognition via torque analysis. In this analysis, impacts of the saturation profile, stator slots and the fault severity are taken into account. So, using torque spectra, an efficient index is introduced for demagnetization fault diagnosis in SMPMSMs. Based on the extracted features and the recognized pattern, time delay embedding (TDE) approach as a competent data mining technique is utilized to process the developed torque. Then, a criterion function is proposed to detect demagnetization fault. Furthermore, this criterion is used to estimate fault severity and determine demagnetization percentage. The two-dimensional (2-D) time stepping finite element method (TSFEM) is employed to model the SMPMSM under different demagnetization levels. The 3-D TSFEM is used to prove the theoretical and 2-D TSFEM results. |
| doi_str_mv | 10.1109/TMAG.2012.2217978 |
| format | Article |
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Hence, a theoretical analysis is presented for feature extraction and pattern recognition via torque analysis. In this analysis, impacts of the saturation profile, stator slots and the fault severity are taken into account. So, using torque spectra, an efficient index is introduced for demagnetization fault diagnosis in SMPMSMs. Based on the extracted features and the recognized pattern, time delay embedding (TDE) approach as a competent data mining technique is utilized to process the developed torque. Then, a criterion function is proposed to detect demagnetization fault. Furthermore, this criterion is used to estimate fault severity and determine demagnetization percentage. The two-dimensional (2-D) time stepping finite element method (TSFEM) is employed to model the SMPMSM under different demagnetization levels. The 3-D TSFEM is used to prove the theoretical and 2-D TSFEM results.</description><identifier>ISSN: 0018-9464</identifier><identifier>EISSN: 1941-0069</identifier><identifier>DOI: 10.1109/TMAG.2012.2217978</identifier><identifier>CODEN: IEMGAQ</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Cross-disciplinary physics: materials science; rheology ; Demagnetization ; Demagnetization fault (DMF) ; Exact sciences and technology ; Fault diagnosis ; feature extraction ; Finite element analysis ; Indexes ; Magnetism ; Materials science ; Mathematical model ; Other topics in materials science ; pattern recognition ; Physics ; Stator cores ; Studies ; surface mounted permanent magnet (PM) synchronous motors (SMPMSMs) ; time delay embedding (TDE) method ; Torque ; two-dimensional (2-D) time stepping finite element method (TSFEM)</subject><ispartof>IEEE transactions on magnetics, 2013-03, Vol.49 (3), p.1185-1192</ispartof><rights>2014 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar 2013</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323t-e0d743bfaa5559bff522c300d4653a2c91c0e9a8f0365ac8a6e2ff5177fa79a73</citedby><cites>FETCH-LOGICAL-c323t-e0d743bfaa5559bff522c300d4653a2c91c0e9a8f0365ac8a6e2ff5177fa79a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6340345$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6340345$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27129754$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ebrahimi, Bashir Mahdi</creatorcontrib><creatorcontrib>Faiz, Jawad</creatorcontrib><title>Demagnetization Fault Diagnosis in Surface Mounted Permanent Magnet Synchronous Motors</title><title>IEEE transactions on magnetics</title><addtitle>TMAG</addtitle><description>In this paper, a novel method is proposed to detect demagnetization fault in surface mounted permanent magnet synchronous motors (SMPMSMs). Hence, a theoretical analysis is presented for feature extraction and pattern recognition via torque analysis. In this analysis, impacts of the saturation profile, stator slots and the fault severity are taken into account. So, using torque spectra, an efficient index is introduced for demagnetization fault diagnosis in SMPMSMs. Based on the extracted features and the recognized pattern, time delay embedding (TDE) approach as a competent data mining technique is utilized to process the developed torque. Then, a criterion function is proposed to detect demagnetization fault. Furthermore, this criterion is used to estimate fault severity and determine demagnetization percentage. The two-dimensional (2-D) time stepping finite element method (TSFEM) is employed to model the SMPMSM under different demagnetization levels. The 3-D TSFEM is used to prove the theoretical and 2-D TSFEM results.</description><subject>Cross-disciplinary physics: materials science; rheology</subject><subject>Demagnetization</subject><subject>Demagnetization fault (DMF)</subject><subject>Exact sciences and technology</subject><subject>Fault diagnosis</subject><subject>feature extraction</subject><subject>Finite element analysis</subject><subject>Indexes</subject><subject>Magnetism</subject><subject>Materials science</subject><subject>Mathematical model</subject><subject>Other topics in materials science</subject><subject>pattern recognition</subject><subject>Physics</subject><subject>Stator cores</subject><subject>Studies</subject><subject>surface mounted permanent magnet (PM) synchronous motors (SMPMSMs)</subject><subject>time delay embedding (TDE) method</subject><subject>Torque</subject><subject>two-dimensional (2-D) time stepping finite element method (TSFEM)</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE9PAjEQxRujiYh-AONlE-NxsX-39EhA0ASiCeh1M5RWl0CLbfeAn94ixNNkZn7vTeYhdEtwjxCsHhezwaRHMaE9SolUsn-GOkRxUmJcqXPUwZj0S8UrfomuYlznlguCO-hjZLbw6UxqfiA13hVjaDepGDV56GMTi8YV8zZY0KaY-dYlsyreTNiCMy4Vsz9pMd87_RW8823MUPIhXqMLC5tobk61i97HT4vhczl9nbwMB9NSM8pSafBKcra0AEIItbRWUKoZxiteCQZUK6KxUdC3mFUCdB8qQzNEpLQgFUjWRfdH313w362JqV77Nrh8siZUkSo_r1imyJHSwccYjK13odlC2NcE14f46kN89SG--hRf1jycnCFq2NgATjfxX0hl9peCZ-7uyDXGmP91xThmXLBf0XZ5JA</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Ebrahimi, Bashir Mahdi</creator><creator>Faiz, Jawad</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20130301</creationdate><title>Demagnetization Fault Diagnosis in Surface Mounted Permanent Magnet Synchronous Motors</title><author>Ebrahimi, Bashir Mahdi ; Faiz, Jawad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c323t-e0d743bfaa5559bff522c300d4653a2c91c0e9a8f0365ac8a6e2ff5177fa79a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Cross-disciplinary physics: materials science; rheology</topic><topic>Demagnetization</topic><topic>Demagnetization fault (DMF)</topic><topic>Exact sciences and technology</topic><topic>Fault diagnosis</topic><topic>feature extraction</topic><topic>Finite element analysis</topic><topic>Indexes</topic><topic>Magnetism</topic><topic>Materials science</topic><topic>Mathematical model</topic><topic>Other topics in materials science</topic><topic>pattern recognition</topic><topic>Physics</topic><topic>Stator cores</topic><topic>Studies</topic><topic>surface mounted permanent magnet (PM) synchronous motors (SMPMSMs)</topic><topic>time delay embedding (TDE) method</topic><topic>Torque</topic><topic>two-dimensional (2-D) time stepping finite element method (TSFEM)</topic><toplevel>online_resources</toplevel><creatorcontrib>Ebrahimi, Bashir Mahdi</creatorcontrib><creatorcontrib>Faiz, Jawad</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>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on magnetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ebrahimi, Bashir Mahdi</au><au>Faiz, Jawad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Demagnetization Fault Diagnosis in Surface Mounted Permanent Magnet Synchronous Motors</atitle><jtitle>IEEE transactions on magnetics</jtitle><stitle>TMAG</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>49</volume><issue>3</issue><spage>1185</spage><epage>1192</epage><pages>1185-1192</pages><issn>0018-9464</issn><eissn>1941-0069</eissn><coden>IEMGAQ</coden><abstract>In this paper, a novel method is proposed to detect demagnetization fault in surface mounted permanent magnet synchronous motors (SMPMSMs). Hence, a theoretical analysis is presented for feature extraction and pattern recognition via torque analysis. In this analysis, impacts of the saturation profile, stator slots and the fault severity are taken into account. So, using torque spectra, an efficient index is introduced for demagnetization fault diagnosis in SMPMSMs. Based on the extracted features and the recognized pattern, time delay embedding (TDE) approach as a competent data mining technique is utilized to process the developed torque. Then, a criterion function is proposed to detect demagnetization fault. Furthermore, this criterion is used to estimate fault severity and determine demagnetization percentage. The two-dimensional (2-D) time stepping finite element method (TSFEM) is employed to model the SMPMSM under different demagnetization levels. 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| ispartof | IEEE transactions on magnetics, 2013-03, Vol.49 (3), p.1185-1192 |
| issn | 0018-9464 1941-0069 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Cross-disciplinary physics: materials science rheology Demagnetization Demagnetization fault (DMF) Exact sciences and technology Fault diagnosis feature extraction Finite element analysis Indexes Magnetism Materials science Mathematical model Other topics in materials science pattern recognition Physics Stator cores Studies surface mounted permanent magnet (PM) synchronous motors (SMPMSMs) time delay embedding (TDE) method Torque two-dimensional (2-D) time stepping finite element method (TSFEM) |
| title | Demagnetization Fault Diagnosis in Surface Mounted Permanent Magnet Synchronous Motors |
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