1. Shodhganga@INFLIBNET
  2. Visvesvaraya National Institute of Technology
  3. Mechanical
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/491743
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-06-15T11:42:22Z-
dc.date.available2023-06-15T11:42:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/491743-
dc.description.abstractavailable newline
dc.format.extent169
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleExperimental investigations for the fault diagnosis of induction motor using convolutional neural network
dc.title.alternative
dc.creator.researcherGUNDEWAR SWAPNIL
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.note
dc.contributor.guideKANE PRASAD
dc.publisher.placeNagpur
dc.publisher.universityVisvesvaraya National Institute of Technology
dc.publisher.institutionMechanical
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Mechanical

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File120.16 kBAdobe PDFView/Open
abstract.pdf13.6 kBAdobe PDFView/Open
annexure.pdf252.32 kBAdobe PDFView/Open
chapter1.pdf32.41 kBAdobe PDFView/Open
chapter2.pdf1.32 MBAdobe PDFView/Open
chapter3.pdf543.7 kBAdobe PDFView/Open
chapter4.pdf2.84 MBAdobe PDFView/Open
chapter5.pdf1.59 MBAdobe PDFView/Open
chapter6.pdf1.34 MBAdobe PDFView/Open
prelim page.pdf346.34 kBAdobe PDFView/Open
table of contents.pdf124.62 kBAdobe PDFView/Open
title.pdf39.31 kBAdobe PDFView/Open
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