Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/232178
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialElectrical Engineering
dc.date.accessioned2019-03-16T06:17:11Z-
dc.date.available2019-03-16T06:17:11Z-
dc.identifier.urihttp://hdl.handle.net/10603/232178-
dc.description.abstractAbstract available
dc.format.extentxviii, 195p.
dc.languageOthers
dc.relation177-194
dc.rightsuniversity
dc.titleVarious control strategies for UPQC enhancement to mitigate PQ issues
dc.title.alternative
dc.creator.researcherR, Manivasagam
dc.subject.keywordNeuralNetwork
dc.subject.keywordNeuroFuzzy
dc.subject.keywordSimulink
dc.subject.keywordUPQC
dc.subject.keywordVoltage
dc.description.noteData not available
dc.contributor.guidePrabakaran, R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awardedn.d.
dc.format.dimensions30cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File9.12 kBAdobe PDFView/Open
02_certificate.pdf692.54 kBAdobe PDFView/Open
03_abstract.pdf7.93 kBAdobe PDFView/Open
04_acknowledgement.pdf5.17 kBAdobe PDFView/Open
05_table of content.pdf88.51 kBAdobe PDFView/Open
06_list of table.pdf3.98 kBAdobe PDFView/Open
07_list of figures.pdf13.83 kBAdobe PDFView/Open
08_list of abbreviation.pdf116.67 kBAdobe PDFView/Open
09_chapter 1.pdf1.1 MBAdobe PDFView/Open
10_chapter 2.pdf1.87 MBAdobe PDFView/Open
11_chapter 3.pdf1.85 MBAdobe PDFView/Open
12_chapter 4.pdf787.56 kBAdobe PDFView/Open
13_chapter 5.pdf1.19 MBAdobe PDFView/Open
14_chapter 6.pdf128.57 kBAdobe PDFView/Open
15_appendix.pdf84.14 kBAdobe PDFView/Open
16_references.pdf442.98 kBAdobe PDFView/Open
17_list of publication.pdf203.39 kBAdobe PDFView/Open


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