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
fDate :
Nov. 29 2010-Dec. 1 2010
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;
Conference_Titel :
Power and Energy (PECon), 2010 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-8947-3
DOI :
10.1109/PECON.2010.5697606