1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology (ISM), Dhanbad
  3. Department of Mining Machinery Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/439886
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-09T10:53:31Z-
dc.date.available2023-01-09T10:53:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/439886-
dc.description.abstractAvailable newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of Deep Learning Based Multiple Fault Detection Approach for Squirrel Cage Induction Motor
dc.title.alternative
dc.creator.researcherKumar, Prashant
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideHati, Ananda Shankar
dc.publisher.placeDhanbad
dc.publisher.universityIndian Institute of Technology (ISM), Dhanbad
dc.publisher.institutionDepartment of Mining Machinery Engineering
dc.date.registered2017
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mining Machinery Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File190.12 kBAdobe PDFView/Open
02_prelim pages.pdf2.03 MBAdobe PDFView/Open
03_table of content.pdf52.78 kBAdobe PDFView/Open
04_abstract.pdf48.74 kBAdobe PDFView/Open
05_chapter 1.pdf74.25 kBAdobe PDFView/Open
06_chapter 2.pdf6.5 MBAdobe PDFView/Open
07_chapter 3.pdf8.63 MBAdobe PDFView/Open
08_chapter 4.pdf6.89 MBAdobe PDFView/Open
09_chapter 5.pdf7.24 MBAdobe PDFView/Open
10_annexure.pdf190.51 kBAdobe PDFView/Open
80_recommendation.pdf250.93 kBAdobe PDFView/Open
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