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The application of zoom FFT technique to the extraction of fault character of induction motor
Because the fault character signal frequency is very close to fundamental wave frequency during the analysis of induction motor rotor winding fault based on the frequency of stator current, though in practical application, there is only signal spectrum in very small frequency range need to be taken...
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creator | Hongzhong Ma Qun Xu Jingang Song Jingdong Han |
description | Because the fault character signal frequency is very close to fundamental wave frequency during the analysis of induction motor rotor winding fault based on the frequency of stator current, though in practical application, there is only signal spectrum in very small frequency range need to be taken into account, high resolution is demanded in the range, therefore the traditional base-band FFT is difficult to analyze the fault character component of induction motor rotor winding effectively. In this paper, the application of zoom FFT to identify the fault character signal of motor is discussed, the fundamental principle of zoom FFT based on multiple modulations and its application method is analyzed. Simulation calculation and practical engineering test have indicated that zoom FFT technique based on multiple modulations can identify the nice frequency structure of a certain band and extract the character signal in stator current under induction motor rotor winding fault effectively. |
doi_str_mv | 10.1109/CMD.2008.4580267 |
format | conference_proceeding |
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In this paper, the application of zoom FFT to identify the fault character signal of motor is discussed, the fundamental principle of zoom FFT based on multiple modulations and its application method is analyzed. Simulation calculation and practical engineering test have indicated that zoom FFT technique based on multiple modulations can identify the nice frequency structure of a certain band and extract the character signal in stator current under induction motor rotor winding fault effectively.</description><identifier>ISBN: 9781424416219</identifier><identifier>ISBN: 1424416213</identifier><identifier>EISBN: 9781424416226</identifier><identifier>EISBN: 1424416221</identifier><identifier>DOI: 10.1109/CMD.2008.4580267</identifier><identifier>LCCN: 2007905915</identifier><language>eng</language><publisher>IEEE</publisher><subject>character frequency signal ; Energy resolution ; Fault diagnosis ; Frequency ; induction motor ; Induction motors ; Rotors ; Signal analysis ; Signal processing ; Signal resolution ; Stator windings ; Transducers ; Zoom FFT analysis</subject><ispartof>2008 International Conference on Condition Monitoring and Diagnosis, 2008, p.221-225</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4580267$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4580267$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hongzhong Ma</creatorcontrib><creatorcontrib>Qun Xu</creatorcontrib><creatorcontrib>Jingang Song</creatorcontrib><creatorcontrib>Jingdong Han</creatorcontrib><title>The application of zoom FFT technique to the extraction of fault character of induction motor</title><title>2008 International Conference on Condition Monitoring and Diagnosis</title><addtitle>CMD</addtitle><description>Because the fault character signal frequency is very close to fundamental wave frequency during the analysis of induction motor rotor winding fault based on the frequency of stator current, though in practical application, there is only signal spectrum in very small frequency range need to be taken into account, high resolution is demanded in the range, therefore the traditional base-band FFT is difficult to analyze the fault character component of induction motor rotor winding effectively. In this paper, the application of zoom FFT to identify the fault character signal of motor is discussed, the fundamental principle of zoom FFT based on multiple modulations and its application method is analyzed. Simulation calculation and practical engineering test have indicated that zoom FFT technique based on multiple modulations can identify the nice frequency structure of a certain band and extract the character signal in stator current under induction motor rotor winding fault effectively.</description><subject>character frequency signal</subject><subject>Energy resolution</subject><subject>Fault diagnosis</subject><subject>Frequency</subject><subject>induction motor</subject><subject>Induction motors</subject><subject>Rotors</subject><subject>Signal analysis</subject><subject>Signal processing</subject><subject>Signal resolution</subject><subject>Stator windings</subject><subject>Transducers</subject><subject>Zoom FFT analysis</subject><isbn>9781424416219</isbn><isbn>1424416213</isbn><isbn>9781424416226</isbn><isbn>1424416221</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVkE9PwzAMxYPQJGDsjsQlX2AlSfOnOaLCAGmIS69o8lJHC1qb0qYS8OnptHHAlyc__2Q9m5AbzjLOmb0rXx8ywViRSVUwoc0ZWVhTcCmk5FoIff6v53ZGribcWKYsVxdkMQwfbCqp8tyqS_Je7ZBC1-2DgxRiS6OnPzE2dLWqaEK3a8PniDRFmiYQv1IP7o_zMO4TdTs4eNgfrNDW43HexBT7azLzsB9wcdI5qVaPVfm8XL89vZT362WwLC298EWNEoTe6q03DgpmJRouQTMzJZXT3QwNyq3NvQJtfa0L4aRzuQGlRD4nt8e1ARE3XR8a6L83pwflv71UVvk</recordid><startdate>200804</startdate><enddate>200804</enddate><creator>Hongzhong Ma</creator><creator>Qun Xu</creator><creator>Jingang Song</creator><creator>Jingdong Han</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200804</creationdate><title>The application of zoom FFT technique to the extraction of fault character of induction motor</title><author>Hongzhong Ma ; Qun Xu ; Jingang Song ; Jingdong Han</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f2f8de4a26b6bf7ca8094e714a60704541090e7e4b93f5a69fd682c4cc37a5523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>character frequency signal</topic><topic>Energy resolution</topic><topic>Fault diagnosis</topic><topic>Frequency</topic><topic>induction motor</topic><topic>Induction motors</topic><topic>Rotors</topic><topic>Signal analysis</topic><topic>Signal processing</topic><topic>Signal resolution</topic><topic>Stator windings</topic><topic>Transducers</topic><topic>Zoom FFT analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Hongzhong Ma</creatorcontrib><creatorcontrib>Qun Xu</creatorcontrib><creatorcontrib>Jingang Song</creatorcontrib><creatorcontrib>Jingdong Han</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hongzhong Ma</au><au>Qun Xu</au><au>Jingang Song</au><au>Jingdong Han</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The application of zoom FFT technique to the extraction of fault character of induction motor</atitle><btitle>2008 International Conference on Condition Monitoring and Diagnosis</btitle><stitle>CMD</stitle><date>2008-04</date><risdate>2008</risdate><spage>221</spage><epage>225</epage><pages>221-225</pages><isbn>9781424416219</isbn><isbn>1424416213</isbn><eisbn>9781424416226</eisbn><eisbn>1424416221</eisbn><abstract>Because the fault character signal frequency is very close to fundamental wave frequency during the analysis of induction motor rotor winding fault based on the frequency of stator current, though in practical application, there is only signal spectrum in very small frequency range need to be taken into account, high resolution is demanded in the range, therefore the traditional base-band FFT is difficult to analyze the fault character component of induction motor rotor winding effectively. In this paper, the application of zoom FFT to identify the fault character signal of motor is discussed, the fundamental principle of zoom FFT based on multiple modulations and its application method is analyzed. Simulation calculation and practical engineering test have indicated that zoom FFT technique based on multiple modulations can identify the nice frequency structure of a certain band and extract the character signal in stator current under induction motor rotor winding fault effectively.</abstract><pub>IEEE</pub><doi>10.1109/CMD.2008.4580267</doi><tpages>5</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | character frequency signal Energy resolution Fault diagnosis Frequency induction motor Induction motors Rotors Signal analysis Signal processing Signal resolution Stator windings Transducers Zoom FFT analysis |
title | The application of zoom FFT technique to the extraction of fault character of induction motor |
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