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Title: Computational intelligent Techniques for power transformer fault identification and classification using DGA
Researcher: Indra, Getzy David
Guide(s): Rajaram, M
Keywords: Dissolved Gas Analysis
Information and Communication engineering
Institute of Electrical and Electronic Engineers
International Electrotechnical Commission
Upload Date: 8-Sep-2014
University: Anna University
Completed Date: 01-10-2012
Abstract: This research is a proposed methodology for diagnosing the faults newlinethat occur in a Power Transformer by analyzing the Dissolved Gas Analysis newlineDGA data taken from the oil immersed transformers The various intelligent newlinetechniques used for diagnosing the faults include Fuzzy Logic and Artificial newlineNeural Networks along with multi classifier systems and principal component newlineAnalysis The diagnosis of various faults is carried out using DGA with newlineInternational Electrotechnical Commission IEC Institute of Electrical and newlineElectronic Engineers IEEE standards which occur due to the thermal and newlineelectrical stresses inside the transformer oil A study of the literature related newlineto the area of research, spanning approximately 47 years showed that the newlinelimitations in decision making have improved year after year by way of newlinesubstituting new methods by the researchers newline newline
Pagination: xvii, 177p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File38.84 kBAdobe PDFView/Open
02_certificate.pdf117.32 kBAdobe PDFView/Open
03_abstract.pdf11.94 kBAdobe PDFView/Open
04_acknowledgement.pdf7.14 kBAdobe PDFView/Open
05_content.pdf18.15 kBAdobe PDFView/Open
06_chapter1.pdf68.32 kBAdobe PDFView/Open
07_chapter2.pdf286.24 kBAdobe PDFView/Open
08_chapter3.pdf438.27 kBAdobe PDFView/Open
09_chapter4.pdf536.16 kBAdobe PDFView/Open
10_chapter5.pdf171.79 kBAdobe PDFView/Open
11_chapter6.pdf548.47 kBAdobe PDFView/Open
12_chapter7.pdf18.11 kBAdobe PDFView/Open
13_reference.pdf21.21 kBAdobe PDFView/Open
14_publication.pdf6.6 kBAdobe PDFView/Open
15_vitae.pdf5.67 kBAdobe PDFView/Open

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