Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/466422
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialMechanical Engineering
dc.date.accessioned2023-03-06T11:47:59Z-
dc.date.available2023-03-06T11:47:59Z-
dc.identifier.urihttp://hdl.handle.net/10603/466422-
dc.description.abstractContinuous and trouble free operation of induction motors IMs is an essential part of the modern power and production plants Accordingly this study presents fault diagnostics of the mechanical and electrical faults in IMs through an artificial intelligence AI methodology i e the support vector machine SVM algorithm Ten IM fault conditions are considered for the diagnosis i e four mechanical fault conditions i e the bearing fault the unbalanced rotor the bowed rotor and the misa
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleDiagnostics of mechanical and electrical faults in induction motors based on support vector machine algorithms
dc.title.alternativeNot available
dc.creator.researcherGangsar, Purushottam
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.noteNot Available
dc.contributor.guideTiwari, Rajiv
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF MECHANICAL ENGINEERING
dc.date.registered2014
dc.date.completed2018
dc.date.awarded2018
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF MECHANICAL ENGINEERING

Files in This Item:
File Description SizeFormat 
01_fulltext.pdfAttached File18.93 MBAdobe PDFView/Open
04_abstract.pdf186.27 kBAdobe PDFView/Open
80_recommendation.pdf479.22 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: