1. Shodhbhagirathi @ IITR
  2. ELECTRICAL ENGINEERING
  3. MASTERS' THESES (Electrical Engg)
Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/13142
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRangisetti, Praveen-
dc.date.accessioned2014-12-05T06:09:14Z-
dc.date.available2014-12-05T06:09:14Z-
dc.date.issued2007-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/13142-
dc.guidePillai, G. N.-
dc.description.abstractIn this thesis the aim is to detect the high impedance fault occurring on radial electrical distribution systems using neural network based relaying scheme. A multilayer perceptron is used for distinguishing the linear and nonlinear High Impedance Faults by taking the Feature vector as input. R.M.S values of third and fifth harmonic components of feeder voltage and feeder current are used as the feature vector obtained by applying the Fast Fourier Transform on the Feeder voltage and Feeder currenten_US
dc.language.isoenen_US
dc.subjectELECTRICAL ENGINEERINGeen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.titleFAULT IDENTIFICATION USING NEURAL NETWORKSen_US
dc.typeM.Tech Dessertationen_US
dc.accession.numberG13071en_US
Appears in Collections:MASTERS' THESES (Electrical Engg)

Files in This Item:
File Description SizeFormat 
G13071.pdf3 MBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.