Detection of Mechanical Deformation in Old Aged Power Transformer Using Cross Correlation Co-Efficient Analysis Method

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Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
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"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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[11]	Planning of the experiment for the defining of the technical state of the transformer by using amplitude-frequency characteristic
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[13]	Low and high frequency model of three phase transformer by frequency response analysis measurement
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[14]	A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems
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[15]	Comparison of power transformer response waveforms obtained by nanosecond low-voltage impulse testing using determination coefficient
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[16]	Применение коэффициента детерминации для сравнения осциллограмм отклика силового трансформатора, полученных при диагностике методом …
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[17]	Condition monitoring and assessment of power transformers using sweep frequency response analysis and dissolve gas analysis.
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[18]	A Novel Digital Image Processing Technique to Detect Power Transformers Internal Faults using Frequency Response Analysis Polar Plot Signature
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[19]	Frequency response interpretation using statistical indices: A case study on 400 MVA transformer
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[20]	Análise de Resposta em Frequência (FRA) para Diagnóstico de Falhas em Transformadores
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[21]	Novel calculation method of indices to improve classification of transformer winding fault type, location, and extent
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[22]	Finite element method to construct a lumped parameter ladder network of the transformer winding
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[23]	Interface Applied to Frequency Response Analysis of Power Transformers
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[25]	New Passive Methodology for Power Cable Monitoring and Fault Location
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[26]	Investigation and Understanding the Conditions of Power Transformer Internal Faults using On-line Technique
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[27]	Internal Fault Identification and Classification of Transformer with the Aid of Radial Basis Neural Network (RBNN)
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[29]	DETECTION OF WINDING DE DETECTION OF WINDING DEFORMATION FORMATION IN POWER TRANSFORMERS IN POWER TRANSFORMERS
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[1]	Computational Analysis of Different Stiffener Designs for Power Transformer Tank Walls 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024), 2024 DOI:10.3390/engproc2024076057

[2]	Diagnosis of AD and DSV Winding Faults Based on FRA Method and Random Forest Algorithm 2023 IEEE 4th International Conference on Electrical Materials and Power Equipment (ICEMPE), 2023 DOI:10.1109/ICEMPE57831.2023.10139451

[3]	Understanding the Influence of Power Transformer Faults on the Frequency Response Signature Using Simulation Analysis and Statistical Indicators IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3076984

[4]	New device for the quality control of the high-voltage electrical insulator IOP Conference Series: Materials Science and Engineering, 2021 DOI:10.1088/1757-899X/1089/1/012015

[5]	The method of power transformers and autotransformers windings condition determination IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/791/1/012028

[6]	Low and high frequency model of three phase transformer by frequency response analysis measurement Open Physics, 2018 DOI:10.1515/phys-2018-0019

[7]	A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems International Journal of Precision Engineering and Manufacturing-Green Technology, 2018 DOI:10.1007/s40684-018-0055-0

[8]	Finite element method to construct a lumped parameter ladder network of the transformer winding 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA), 2017 DOI:10.1109/ICRERA.2017.8191224

[9]	Novel Calculation Method of Indices to Improve Classification of Transformer Winding Fault Type, Location, and Extent IEEE Transactions on Industrial Informatics, 2017 DOI:10.1109/TII.2017.2651954

[10]	Internal Fault Identification and Classification of Transformer with the Aid of Radial Basis Neural Network (RBNN) Arabian Journal for Science and Engineering, 2014 DOI:10.1007/s13369-014-1030-x

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