Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"Detection of Mechanical Deformation in Old Aged Power Transformer Using Cross Correlation Co-Efficient Analysis Method"
written by Asif Islam, Shahidul Islam Khan, Aminul Hoque,
published by Energy and Power Engineering, Vol.3 No.4, 2011
has been cited by the following article(s):
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[2] Understanding the Influence of Power Transformer Faults on the Frequency Response Signature Using Simulation Analysis and Statistical Indicators
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[3] SFRA Capability for detection of deformation in Transformer windings: A field experience of 400kV 167MVA single phase ICT
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[4] SFRA ability in detection of Deformation in Transformers Windings: A field experience of 400kV 167MVA single phase unit
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[9] Planning of the experiment for the defining of the technical state of the transformer by using amplitude-frequency characteristic
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[10] Планування технічного обслуговування силових трансформаторів за результатами контролю їх частотних характеристик
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[13] Применение коэффициента детерминации для сравнения осциллограмм отклика силового трансформатора, полученных при диагностике методом …
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[14] Condition monitoring and assessment of power transformers using sweep frequency response analysis and dissolve gas analysis.
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[15] A Novel Digital Image Processing Technique to Detect Power Transformers Internal Faults using Frequency Response Analysis Polar Plot Signature
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[16] Frequency response interpretation using statistical indices: A case study on 400 MVA transformer
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[17] Análise de Resposta em Frequência (FRA) para Diagnóstico de Falhas em Transformadores
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[18] Novel calculation method of indices to improve classification of transformer winding fault type, location, and extent
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[19] Finite element method to construct a lumped parameter ladder network of the transformer winding
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[20] Interface Applied to Frequency Response Analysis of Power Transformers
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[21] 建筑电气系统中的节能设计研究
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[22] New Passive Methodology for Power Cable Monitoring and Fault Location
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[23] Investigation and Understanding the Conditions of Power Transformer Internal Faults using On-line Technique
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[24] Internal Fault Identification and Classification of Transformer with the Aid of Radial Basis Neural Network (RBNN)
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[25] Short term electricity demand forecasting of an isolated area using two different approach
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[26] DETECTION OF WINDING DE DETECTION OF WINDING DEFORMATION FORMATION IN POWER TRANSFORMERS IN POWER TRANSFORMERS
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[27] Detection of winding deformation in power transformers
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[28] Short term electricity demand forecasting for an isolated area using two different approaches
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