Broken rotor bar detection via four-band wavelet packet decomposition of motor current
The induction motor current is nonstationary by nature, and time-scale analysis techniques such as wavelet packet decomposition (WPD) are more suitable for the analysis of the stator current for broken rotor bar detection. But, WPD is very costly in terms of the computational effort when half-band F...
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Veröffentlicht in: | Electrical engineering 2018-09, Vol.100 (3), p.1957-1962 |
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container_end_page | 1962 |
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container_start_page | 1957 |
container_title | Electrical engineering |
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creator | Cekic, Yalcin Eren, Levent |
description | The induction motor current is nonstationary by nature, and time-scale analysis techniques such as wavelet packet decomposition (WPD) are more suitable for the analysis of the stator current for broken rotor bar detection. But, WPD is very costly in terms of the computational effort when half-band FIR filter banks are used in analysis. The implementation of four-band FIR filter banks in the analysis of a phase current is proposed here to reduce the computational cost. The use of four-band FIR filter banks with FPGA implementation would also provide higher levels of parallel processing capability resulting in further reduction in computational time required for detection of broken rotor bar faults. In WPD, it is also possible to tailor the frequency band size (resolution) so that one frequency band covers all motor fault induced frequencies due to rotor speed variations. Here, the rms value for broken rotor bar fault-related frequency band is compared with the baseline data to detect any broken rotor bar faults. |
doi_str_mv | 10.1007/s00202-017-0674-4 |
format | Article |
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But, WPD is very costly in terms of the computational effort when half-band FIR filter banks are used in analysis. The implementation of four-band FIR filter banks in the analysis of a phase current is proposed here to reduce the computational cost. The use of four-band FIR filter banks with FPGA implementation would also provide higher levels of parallel processing capability resulting in further reduction in computational time required for detection of broken rotor bar faults. In WPD, it is also possible to tailor the frequency band size (resolution) so that one frequency band covers all motor fault induced frequencies due to rotor speed variations. Here, the rms value for broken rotor bar fault-related frequency band is compared with the baseline data to detect any broken rotor bar faults.</description><identifier>ISSN: 0948-7921</identifier><identifier>EISSN: 1432-0487</identifier><identifier>DOI: 10.1007/s00202-017-0674-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Computational efficiency ; Computing time ; Decomposition ; Economics and Management ; Electrical Engineering ; Electrical Machines and Networks ; Energy Policy ; Engineering ; Fault detection ; Filter banks ; FIR filters ; Induction motors ; Original Paper ; Parallel processing ; Phase current ; Power Electronics ; Rotor speed ; Wavelet analysis</subject><ispartof>Electrical engineering, 2018-09, Vol.100 (3), p.1957-1962</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2017</rights><rights>Copyright Springer Science & Business Media 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-9e97d92f8033de11a87bf7656a490d6970800556a56771aa27b18b2b419fa8453</citedby><cites>FETCH-LOGICAL-c316t-9e97d92f8033de11a87bf7656a490d6970800556a56771aa27b18b2b419fa8453</cites><orcidid>0000-0002-8920-3212 ; 0000-0002-5804-436X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00202-017-0674-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00202-017-0674-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Cekic, Yalcin</creatorcontrib><creatorcontrib>Eren, Levent</creatorcontrib><title>Broken rotor bar detection via four-band wavelet packet decomposition of motor current</title><title>Electrical engineering</title><addtitle>Electr Eng</addtitle><description>The induction motor current is nonstationary by nature, and time-scale analysis techniques such as wavelet packet decomposition (WPD) are more suitable for the analysis of the stator current for broken rotor bar detection. 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Here, the rms value for broken rotor bar fault-related frequency band is compared with the baseline data to detect any broken rotor bar faults.</description><subject>Computational efficiency</subject><subject>Computing time</subject><subject>Decomposition</subject><subject>Economics and Management</subject><subject>Electrical Engineering</subject><subject>Electrical Machines and Networks</subject><subject>Energy Policy</subject><subject>Engineering</subject><subject>Fault detection</subject><subject>Filter banks</subject><subject>FIR filters</subject><subject>Induction motors</subject><subject>Original Paper</subject><subject>Parallel processing</subject><subject>Phase current</subject><subject>Power Electronics</subject><subject>Rotor speed</subject><subject>Wavelet analysis</subject><issn>0948-7921</issn><issn>1432-0487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLxDAUhYMoOI7-AHcB19GbR5tmqYMvGHCjbkPaJtJ5NDXJjPjvTaeCK1eHe_nOuZeD0CWFawogbyIAA0aASgKlFEQcoRkVPG9EJY_RDJSoiFSMnqKzGFcAwAslZuj9Lvi17XHwyQdcm4Bbm2yTOt_jfWew87tAatO3-Mvs7cYmPJhmnaW1jd8OPnYH1Du8PSQ0uxBsn87RiTObaC9-dY7eHu5fF09k-fL4vLhdkobTMhFllWwVcxVw3lpKTSVrJ8uiNEJBWyoJFUCRx6KUkhrDZE2rmtWCKmcqUfA5uppyh-A_dzYmvcoP9_mkZqOXc5AiU3SimuBjDNbpIXRbE741BT3Wp6f6dK5Pj_Xp0cMmT8xs_2HDX_L_ph-2e3HH</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Cekic, Yalcin</creator><creator>Eren, Levent</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-8920-3212</orcidid><orcidid>https://orcid.org/0000-0002-5804-436X</orcidid></search><sort><creationdate>20180901</creationdate><title>Broken rotor bar detection via four-band wavelet packet decomposition of motor current</title><author>Cekic, Yalcin ; Eren, Levent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-9e97d92f8033de11a87bf7656a490d6970800556a56771aa27b18b2b419fa8453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computational efficiency</topic><topic>Computing time</topic><topic>Decomposition</topic><topic>Economics and Management</topic><topic>Electrical Engineering</topic><topic>Electrical Machines and Networks</topic><topic>Energy Policy</topic><topic>Engineering</topic><topic>Fault detection</topic><topic>Filter banks</topic><topic>FIR filters</topic><topic>Induction motors</topic><topic>Original Paper</topic><topic>Parallel processing</topic><topic>Phase current</topic><topic>Power Electronics</topic><topic>Rotor speed</topic><topic>Wavelet analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cekic, Yalcin</creatorcontrib><creatorcontrib>Eren, Levent</creatorcontrib><collection>CrossRef</collection><jtitle>Electrical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cekic, Yalcin</au><au>Eren, Levent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Broken rotor bar detection via four-band wavelet packet decomposition of motor current</atitle><jtitle>Electrical engineering</jtitle><stitle>Electr Eng</stitle><date>2018-09-01</date><risdate>2018</risdate><volume>100</volume><issue>3</issue><spage>1957</spage><epage>1962</epage><pages>1957-1962</pages><issn>0948-7921</issn><eissn>1432-0487</eissn><abstract>The induction motor current is nonstationary by nature, and time-scale analysis techniques such as wavelet packet decomposition (WPD) are more suitable for the analysis of the stator current for broken rotor bar detection. But, WPD is very costly in terms of the computational effort when half-band FIR filter banks are used in analysis. The implementation of four-band FIR filter banks in the analysis of a phase current is proposed here to reduce the computational cost. The use of four-band FIR filter banks with FPGA implementation would also provide higher levels of parallel processing capability resulting in further reduction in computational time required for detection of broken rotor bar faults. In WPD, it is also possible to tailor the frequency band size (resolution) so that one frequency band covers all motor fault induced frequencies due to rotor speed variations. Here, the rms value for broken rotor bar fault-related frequency band is compared with the baseline data to detect any broken rotor bar faults.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00202-017-0674-4</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-8920-3212</orcidid><orcidid>https://orcid.org/0000-0002-5804-436X</orcidid></addata></record> |
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subjects | Computational efficiency Computing time Decomposition Economics and Management Electrical Engineering Electrical Machines and Networks Energy Policy Engineering Fault detection Filter banks FIR filters Induction motors Original Paper Parallel processing Phase current Power Electronics Rotor speed Wavelet analysis |
title | Broken rotor bar detection via four-band wavelet packet decomposition of motor current |
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