Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/382794
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-05-27T06:53:32Z-
dc.date.available2022-05-27T06:53:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/382794-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine Learning Algorithms for Sensor Fault Detection in Wind Energy Conversion System
dc.title.alternative
dc.creator.researcherRekha S N
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideP Aruna Jeyanthy
dc.publisher.placeVirudhunagar
dc.publisher.universityKalasalingam University
dc.publisher.institutionDepartment of Electrical and Electronics Engineering
dc.date.registered2015
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical and Electronics Engineering

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File83.25 kBAdobe PDFView/Open
rekha thesis _ 22.5.2022.pdf7.96 MBAdobe 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: