1. Shodhganga@INFLIBNET
  2. B S Abdur Rahman Crescent Institute of Science & Technology
  3. Department of Mechanical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/510179
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-09-01T05:46:24Z-
dc.date.available2023-09-01T05:46:24Z-
dc.identifier.urihttp://hdl.handle.net/10603/510179-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Machine Learning Approach to Fault Diagnosis of Planetary Gearbox
dc.title.alternative
dc.creator.researcherSyed Shaul Hameed
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.note
dc.contributor.guideMuralidharan, V
dc.publisher.placeChennai
dc.publisher.universityB S Abdur Rahman Crescent Institute of Science and Technology
dc.publisher.institutionDepartment of Mechanical Engineering
dc.date.registered2015
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mechanical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File81.12 kBAdobe PDFView/Open
02_prelim.pdf1.44 MBAdobe PDFView/Open
03_content.pdf217.41 kBAdobe PDFView/Open
04_abstract.pdf197.79 kBAdobe PDFView/Open
05_chapter 1.pdf526.7 kBAdobe PDFView/Open
06_chapter 2.pdf754.03 kBAdobe PDFView/Open
07_chapter 3.pdf911.08 kBAdobe PDFView/Open
08_chapter 4.pdf2.55 MBAdobe PDFView/Open
09_chapter 5.pdf485.48 kBAdobe PDFView/Open
10_annexures.pdf370.2 kBAdobe PDFView/Open
80_recommendation.pdf207.48 kBAdobe PDFView/Open
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