DocumentCode
2472681
Title
Comparison of different back-propagation algorithms used in the diagnosis of transformer oil
Author
Mokhnache, L. ; Boubakeur, A.
Author_Institution
Dept. of Electr. Eng., Univ. of Batna, Algeria
fYear
2002
fDate
2002
Firstpage
244
Lastpage
247
Abstract
Back propagation Algorithm is applied in transformer oil diagnosis. The Algorithm is trained by Levenberg-Marquardt technique, Momentum technique and Momentum & adaptive learning rate technique. A comparison between the three techniques is done.
Keywords
backpropagation; insulation testing; transformer oil; Levenberg-Marquardt technique; backpropagation algorithm; momentum and adaptive learning rate technique; momentum technique; training method; transformer oil diagnosis; Cooling; Dielectrics; IEC standards; Jacobian matrices; Laboratories; Neural networks; Oil insulation; Petroleum; Power transformer insulation; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena, 2002 Annual Report Conference on
Print_ISBN
0-7803-7502-5
Type
conf
DOI
10.1109/CEIDP.2002.1048781
Filename
1048781
Link To Document