By Topic

Neural networks application to the fault location in the transformer winding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kawaguchi, Y. ; Dept. of Electr. Eng., Kokushikan Univ., Japan ; Shimizu, T.

Transformers are usually subjected to lightning impulse tests for their withstand ability after assembly in the manufacturing plants. Unexpectedly, the windings are sometimes broken down by excessive voltage stress due to internal oscillation. Naturally, the location of the damaged portion, which might take a long time, has to be found for repair work. If location is easily done, subsequent jobs will be effectively and quickly handled. This paper shows the possibility of neural networks application to the fault location in the transformer windings, where short circuit failure is assumed to occur between some coil sections

Published in:

High Voltage Engineering, 1999. Eleventh International Symposium on (Conf. Publ. No. 467)  (Volume:5 )

Date of Conference:

1999