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Showing Abstract of Determining Intensity of Radial Deformation and Axial Displacement of Transformer Winding Using Angular Proximity Index

 
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[ Downloads: 1 | Abstract Viewed: 479 | Pages: 5 ]

Title

Determining Intensity of Radial Deformation and Axial Displacement of Transformer Winding Using Angular Proximity Index

Topic: Published Year: 1390
Presentation:
Published in:

[ 26th International Power System Conference ]

Original Language: English Full Text Size: Not Available

 

Abstract of the Article

 

Note: English CIVILICA is in its Trial Period so Full Texts can not be provided! Persian users can download it here

Download This article in PDF format Determining Intensity of Radial Deformation and Axial Displacement of Transformer Winding Using Angular Proximity Index

 

Authors:

[ K Pourhossein ] - Tabriz Branch-Islamic Azad University-Tabriz- Iran
[ G.B Gharehpetian ] - Electrical Engineering Department- Amirkabir University of Technology-Tehran- Iran
[ E Rahimpour ] - ABB AG- Power Products Division- Transformers- R&D Department- Bad Honnef-Germany

 

Abstract:

Transfer function method is a widely-used technique to detect mechanical defects of transformer winding. Although TF is emerging as a powerful diagnostics technique, there is still no general guideline for interpreting measured TFs. The present paper is an attempt to diagnose intensity of radial deformation (RD) and axial displacement (AD) of transformer winding through a vector space perspective, using transformer’s transfer function. To determine the intensity of winding deformation or displacement, the angular proximity index is used. The measurement results show the effectiveness of this index. The angular proximity index constructs a nearly linear mapping between any TF curve and its defect intensity. The results are verified using experiments and compared with the other well-known index, i.e., correlation coefficient.

 

Keywords:

Power transformer, Transfer function (TF), Radial deformation (RD), AxiaL displacement (AD), Vector space model, Arc-cosine similarity measure (ACSM)

 

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