Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/42585
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DC FieldValueLanguage
dc.coverage.spatialEngineeringen_US
dc.date.accessioned2015-06-03T12:31:46Z-
dc.date.available2015-06-03T12:31:46Z-
dc.date.issued2015-06-03-
dc.identifier.urihttp://hdl.handle.net/10603/42585-
dc.description.abstractAbstract avalibleen_US
dc.format.extent118p.en_US
dc.languageEnglishen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.titleStatus assessment of power lines using artificial neural networksen_US
dc.title.alternative-en_US
dc.creator.researcherDwivedi, Bhartien_US
dc.subject.keywordAssessmenten_US
dc.subject.keywordNetworksen_US
dc.subject.keywordPoweren_US
dc.subject.keywordStatusen_US
dc.description.noteBibliography p.84 - 109 and Appendix p.110 - 118en_US
dc.contributor.guideZadgaonkar, Aen_US
dc.publisher.placeRaipuren_US
dc.publisher.universityPt. Ravishankar Shukla Universityen_US
dc.publisher.institutionDepartment of Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed2000en_US
dc.date.awardedn.d.en_US
dc.format.dimensions-en_US
dc.format.accompanyingmaterialNoneen_US
dc.type.degreePh.D.en_US
dc.source.inflibnetINFLIBNETen_US
Appears in Departments:Department of Engineering

Files in This Item:
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01_title.pdfAttached File186.9 kBAdobe PDFView/Open
02_dedication.pdf5.79 kBAdobe PDFView/Open
03_index.pdf7.16 kBAdobe PDFView/Open
04_certificate.pdf18.77 kBAdobe PDFView/Open
05_declaration.pdf15.47 kBAdobe PDFView/Open
06_synopsis.pdf14.52 kBAdobe PDFView/Open
07_aknowledgements.pdf34.78 kBAdobe PDFView/Open
08_abstract.pdf35.46 kBAdobe PDFView/Open
09_preface.pdf67.05 kBAdobe PDFView/Open
10_contents.pdf35.11 kBAdobe PDFView/Open
11_chapter 1.pdf162.4 kBAdobe PDFView/Open
12_chapter 2.pdf332.02 kBAdobe PDFView/Open
13_chapter 3.pdf375.78 kBAdobe PDFView/Open
14_chapter 4.pdf324.25 kBAdobe PDFView/Open
15_chapter 5.pdf224.85 kBAdobe PDFView/Open
16_canclusion.pdf58.13 kBAdobe PDFView/Open
17_bibliography.pdf449.14 kBAdobe PDFView/Open
18_appendix.pdf115 kBAdobe PDFView/Open


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