Approach Signal for Rotor Fault Detection in Induction Motors
In this paper, two approach signals are used for broken rotor bar fault diagnosis. One is based on the spectrum analysis, such as the fast Fourier transform, which utilizes the steady-state spectral components of the stator quantities. The accuracy of this technique depends on the loading conditions...
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| Veröffentlicht in: | Journal of failure analysis and prevention 2013-06, Vol.13 (3), p.346-352 |
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| container_title | Journal of failure analysis and prevention |
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| creator | Kechida, Ridha Menacer, Arezki Talhaoui, Hicham |
| description | In this paper, two approach signals are used for broken rotor bar fault diagnosis. One is based on the spectrum analysis, such as the fast Fourier transform, which utilizes the steady-state spectral components of the stator quantities. The accuracy of this technique depends on the loading conditions and constant speed of the machine. The second approach is based on the discrete wavelet transform which is considered an ideal tool for this purpose due to its suitability for the analysis of signals, the frequency spectrum of which is variable in time. These two approaches are tested in simulation and validated experimentally. |
| doi_str_mv | 10.1007/s11668-013-9681-6 |
| format | Article |
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One is based on the spectrum analysis, such as the fast Fourier transform, which utilizes the steady-state spectral components of the stator quantities. The accuracy of this technique depends on the loading conditions and constant speed of the machine. The second approach is based on the discrete wavelet transform which is considered an ideal tool for this purpose due to its suitability for the analysis of signals, the frequency spectrum of which is variable in time. These two approaches are tested in simulation and validated experimentally.</description><identifier>ISSN: 1547-7029</identifier><identifier>EISSN: 1728-5674</identifier><identifier>EISSN: 1864-1245</identifier><identifier>DOI: 10.1007/s11668-013-9681-6</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Applied sciences ; Characterization and Evaluation of Materials ; Chemistry and Materials Science ; Classical Mechanics ; Corrosion and Coatings ; Engines and turbines ; Exact sciences and technology ; Fourier transforms ; Frequency spectrum ; Induction motors ; Internal combustion engines: gazoline engine, diesel engines, etc ; Materials Science ; Mechanical engineering. Machine design ; Quality Control ; Reliability ; Rotors ; Safety and Risk ; Simulation ; Solid Mechanics ; Spectra ; Stators ; Technical Article---Peer-Reviewed ; Tribology</subject><ispartof>Journal of failure analysis and prevention, 2013-06, Vol.13 (3), p.346-352</ispartof><rights>ASM International 2013</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-c202eaf66ecd75edd4bf9ddef35088824b9c5580e986308fb58ff711c27eae073</citedby><cites>FETCH-LOGICAL-c379t-c202eaf66ecd75edd4bf9ddef35088824b9c5580e986308fb58ff711c27eae073</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27424652$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Kechida, Ridha</creatorcontrib><creatorcontrib>Menacer, Arezki</creatorcontrib><creatorcontrib>Talhaoui, Hicham</creatorcontrib><title>Approach Signal for Rotor Fault Detection in Induction Motors</title><title>Journal of failure analysis and prevention</title><addtitle>J Fail. Anal. and Preven</addtitle><description>In this paper, two approach signals are used for broken rotor bar fault diagnosis. One is based on the spectrum analysis, such as the fast Fourier transform, which utilizes the steady-state spectral components of the stator quantities. The accuracy of this technique depends on the loading conditions and constant speed of the machine. The second approach is based on the discrete wavelet transform which is considered an ideal tool for this purpose due to its suitability for the analysis of signals, the frequency spectrum of which is variable in time. These two approaches are tested in simulation and validated experimentally.</description><subject>Applied sciences</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Classical Mechanics</subject><subject>Corrosion and Coatings</subject><subject>Engines and turbines</subject><subject>Exact sciences and technology</subject><subject>Fourier transforms</subject><subject>Frequency spectrum</subject><subject>Induction motors</subject><subject>Internal combustion engines: gazoline engine, diesel engines, etc</subject><subject>Materials Science</subject><subject>Mechanical engineering. Machine design</subject><subject>Quality Control</subject><subject>Reliability</subject><subject>Rotors</subject><subject>Safety and Risk</subject><subject>Simulation</subject><subject>Solid Mechanics</subject><subject>Spectra</subject><subject>Stators</subject><subject>Technical Article---Peer-Reviewed</subject><subject>Tribology</subject><issn>1547-7029</issn><issn>1728-5674</issn><issn>1864-1245</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kMtKxDAUhoMoOI4-gLuCCG6iuSdduBhGRwdGBC_rkEmTsUOnrUm78O1N6SAiuDkXznd-zvkBOMfoGiMkbyLGQiiIMIW5UBiKAzDBkijIhWSHqeZMQolIfgxOYtwiRDlmZAJuZ20bGmM_stdyU5sq803IXpouxYXpqy67c52zXdnUWVlny7rox-ZpQOIpOPKmiu5sn6fgfXH_Nn-Eq-eH5Xy2gpbKvIOWIOKMF8LZQnJXFGzt86JwnnKklCJsnVvOFXK5EhQpv-bKe4mxJdIZhySdgqtRN9362bvY6V0ZrasqU7umjxpTSQSXTNKEXvxBt00f0mcDxSUmBFOVKDxSNjQxBud1G8qdCV8aIz0YqkdDdTJUD4ZqkXYu98omWlP5YGpbxp9FIhlhgpPEkZGLaVRvXPh1wb_i36SVhBw</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Kechida, Ridha</creator><creator>Menacer, Arezki</creator><creator>Talhaoui, Hicham</creator><general>Springer US</general><general>ASM International</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20130601</creationdate><title>Approach Signal for Rotor Fault Detection in Induction Motors</title><author>Kechida, Ridha ; Menacer, Arezki ; Talhaoui, Hicham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-c202eaf66ecd75edd4bf9ddef35088824b9c5580e986308fb58ff711c27eae073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry and Materials Science</topic><topic>Classical Mechanics</topic><topic>Corrosion and Coatings</topic><topic>Engines and turbines</topic><topic>Exact sciences and technology</topic><topic>Fourier transforms</topic><topic>Frequency spectrum</topic><topic>Induction motors</topic><topic>Internal combustion engines: gazoline engine, diesel engines, etc</topic><topic>Materials Science</topic><topic>Mechanical engineering. Machine design</topic><topic>Quality Control</topic><topic>Reliability</topic><topic>Rotors</topic><topic>Safety and Risk</topic><topic>Simulation</topic><topic>Solid Mechanics</topic><topic>Spectra</topic><topic>Stators</topic><topic>Technical Article---Peer-Reviewed</topic><topic>Tribology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kechida, Ridha</creatorcontrib><creatorcontrib>Menacer, Arezki</creatorcontrib><creatorcontrib>Talhaoui, Hicham</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</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><collection>Engineering Collection</collection><jtitle>Journal of failure analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kechida, Ridha</au><au>Menacer, Arezki</au><au>Talhaoui, Hicham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Approach Signal for Rotor Fault Detection in Induction Motors</atitle><jtitle>Journal of failure analysis and prevention</jtitle><stitle>J Fail. Anal. and Preven</stitle><date>2013-06-01</date><risdate>2013</risdate><volume>13</volume><issue>3</issue><spage>346</spage><epage>352</epage><pages>346-352</pages><issn>1547-7029</issn><eissn>1728-5674</eissn><eissn>1864-1245</eissn><abstract>In this paper, two approach signals are used for broken rotor bar fault diagnosis. One is based on the spectrum analysis, such as the fast Fourier transform, which utilizes the steady-state spectral components of the stator quantities. The accuracy of this technique depends on the loading conditions and constant speed of the machine. The second approach is based on the discrete wavelet transform which is considered an ideal tool for this purpose due to its suitability for the analysis of signals, the frequency spectrum of which is variable in time. These two approaches are tested in simulation and validated experimentally.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11668-013-9681-6</doi><tpages>7</tpages></addata></record> |
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| source | SpringerNature Journals |
| subjects | Applied sciences Characterization and Evaluation of Materials Chemistry and Materials Science Classical Mechanics Corrosion and Coatings Engines and turbines Exact sciences and technology Fourier transforms Frequency spectrum Induction motors Internal combustion engines: gazoline engine, diesel engines, etc Materials Science Mechanical engineering. Machine design Quality Control Reliability Rotors Safety and Risk Simulation Solid Mechanics Spectra Stators Technical Article---Peer-Reviewed Tribology |
| title | Approach Signal for Rotor Fault Detection in Induction Motors |
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