[۵۴] M. Bagheri, M. Vakilian, A. Hekmati, and R. Heidarzadeh, “Influence of electrostatic shielding of disc winding on increasing the series capacitance in transformer,” in Power Tech, 2007 IEEE Lausanne, 2007, pp. 1780-1784.
[۵۵] R. A. Rohrer, Circuit theory: an introduction to the state variable approach: McGraw-Hill, 1969.
[۵۶] A. Abu-Siada and S. Islam, “A novel online technique to detect power transformer winding faults," Power Delivery, IEEE Transactions on, vol. 27, pp. 849-857, 2012.
[۵۷] J. Secue and E. Mombello, “Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers," Electric Power Systems Research, vol. 78, pp. 1119-1128, 2008.
Abstract:
PWUT
Transformers internal fault detection and classification using decision tree based on simulation of electrical model
Thesis
Submitted in Partial Fulfillment of the
Requirements for the Degree of Master of Science (M.Sc.)
in Electrical Engineering, Power Systems
Department of Electrical Engineering
School of Engineering
Power and Water
By:
Mohedin Ganjian
Supervisor:
Hamid Javadi
Farhad Haghjoo
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- - Power Transformer ↑
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- - Deformation ↑
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- -Frequency Rwsponse Analyse ↑
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- -Dissolve Gas Analyse ↑
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- -Signal Processing ↑
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- - Leakage Flux ↑
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- -Negative Current Sequence ↑
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- -Impulse Resistance ↑
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- - Bocholtz Relay ↑
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- Neutral Current ↑
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- -Laddder Network Model ↑
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- - Axial Displacement ↑
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- -Finit Element Methode ↑
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- - Eddy Current ↑
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- -Neural network ↑
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- - Support Vector Machine ↑
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- - correlation coefficient ↑
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- -Sum Square Error ↑
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- -Absolute Sum Logarithmic Error ↑
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- - Standard Deviation ↑
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- - Evidental Reasoning ↑
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- - Fuzzy Logic ↑
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- - Disc Space Variation ↑
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- - Scattering Parameter ↑
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- - k-nearest neighbour method ↑
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- - Imsulation system ↑
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- - Over Voltage ↑
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- - Lightining ↑
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- - Partial Discharge ↑
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- - Insulation Degeration ↑
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- - Over Load ↑
- - Excition Current ↑