Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/14627
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dc.contributor.authorHernandez-Vargas, M-
dc.contributor.authorCabal-Yepez, E-
dc.contributor.authorGarcia-Perez, A-
dc.contributor.authorRomero-Troncoso, R J-
dc.date.accessioned2012-08-31T09:31:44Z-
dc.date.available2012-08-31T09:31:44Z-
dc.date.issued2012-09-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/14627-
dc.description589-593en_US
dc.description.abstractThis study introduces a novel methodology for early detection of broken-rotor-bars and bearing faults on induction motors by using singular value decomposition and information entropy estimation to detect motor operational condition. Proposed technique could detect these faults with a certainty greater than 99.7%. A field programmable gate array implementation is developed for online application of proposed approach in real-time.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.71(09) [September 2012]en_US
dc.subjectBroken-rotor-bars (BRB)en_US
dc.subjectFaulty bearings (FBR)en_US
dc.subjectField programmable gate arrays (FPGA)en_US
dc.subjectInduction motoren_US
dc.subjectInformation entropyen_US
dc.subjectSingular value decomposition (SVD)en_US
dc.titleNovel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropyen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.71(09) [September 2012]

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