1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Delhi
  3. Department of Electrical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/594945
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DC FieldValueLanguage
dc.coverage.spatialDepartment of Electrical Engineering
dc.date.accessioned2024-10-11T11:50:30Z-
dc.date.available2024-10-11T11:50:30Z-
dc.identifier.urihttp://hdl.handle.net/10603/594945-
dc.description.abstractAbstract available newline
dc.format.extentNA
dc.languageEnglish
dc.relationTH4430
dc.rightsuniversity
dc.titleArtificial intelligence based power system fault classification and location
dc.title.alternativeNA
dc.creator.researcherRoy, Papia
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNA
dc.contributor.guidePanigrahi, B. K. and Senroy, N.
dc.publisher.placeDelhi
dc.publisher.universityIndian Institute of Technology Delhi
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered
dc.date.completed2013
dc.date.awarded2013
dc.format.dimensionsNA
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File50.75 kBAdobe PDFView/Open
02_prelim pages.pdf90.37 kBAdobe PDFView/Open
03_content.pdf23.17 kBAdobe PDFView/Open
04_abstract.pdf21.6 kBAdobe PDFView/Open
05_chapter 1.pdf79.37 kBAdobe PDFView/Open
06_chapter 2.pdf395.23 kBAdobe PDFView/Open
07_chapter 3.pdf668.72 kBAdobe PDFView/Open
08_chapter 4.pdf734 kBAdobe PDFView/Open
09_chapter 5.pdf911.57 kBAdobe PDFView/Open
10_chapter 6.pdf27.45 kBAdobe PDFView/Open
11_annexures.pdf148.59 kBAdobe PDFView/Open
80_recommendation.pdf77.79 kBAdobe PDFView/Open
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