Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/546414
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-02-21T10:13:25Z-
dc.date.available2024-02-21T10:13:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/546414-
dc.format.extentxii, 136p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleFault detection and diagnosis of 3 phase induction motor employing advanced spectral techniques and machine learning for stator current
dc.title.alternative
dc.creator.researcherChikkam, Srinivas
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideSingh, Sachin
dc.publisher.placeNew Delhi
dc.publisher.universityNational Institute of Technology Delhi
dc.publisher.institutionElectrical and Electronics Engineering
dc.date.registered2018
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electrical & Electronics Engineering

Files in This Item:
File Description SizeFormat 
02_prelim pages.pdfAttached File182.51 kBAdobe PDFView/Open
03_contents.pdf76.29 kBAdobe PDFView/Open
05_chapter 1.pdf331.04 kBAdobe PDFView/Open
06_chapter 2.pdf386.34 kBAdobe PDFView/Open
07_chapter 3.pdf1.48 MBAdobe PDFView/Open
09_chapter 5.pdf983.05 kBAdobe PDFView/Open
10_annexures.pdf217.29 kBAdobe PDFView/Open
80_recommendation.pdf51.38 kBAdobe PDFView/Open


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