DocumentCode
2281787
Title
Detection of transformer winding axial displacement using scattering parameter and ANN
Author
Hejazi, Maryam A. ; Alehoseini, Hasan A. ; Gharehpetian, Gevork B.
Author_Institution
Dept. of Electr. Eng., Amirkabir Uni. of Tech., Tehran, Iran
fYear
2010
fDate
Nov. 29 2010-Dec. 1 2010
Firstpage
336
Lastpage
340
Abstract
The method of the on-line monitoring of transformer winding axial displacements using scattering parameters has been presented in this paper. In this method, the signature of the transformer is the scattering parameters, which are calculated using high frequency simulation software and saved for further analysis as a base case. The new simulations can be compared with this case, to detect the axial displacement of transformer winding. Based on simulations on the simplified model of the transformer winding, it is shown that the proposed method can discriminate between the displaced and intact windings. The displacement extent can be determined using Artificial Neural Network.
Keywords
neural nets; power engineering computing; power transformers; artificial neural network; high frequency simulation software; online monitoring; scattering parameter; transformer winding axial displacement detection; Artificial Neural Network; On-Line Monitoring; Scattering Parameters; Transformer; Winding Axial Displacement;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy (PECon), 2010 IEEE International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-8947-3
Type
conf
DOI
10.1109/PECON.2010.5697606
Filename
5697606
Link To Document