Cart (Loading....) | Create Account
Close category search window
 

Influence of modifications in partial discharge patterns on a neural network's recognition ability

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
$31 $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

3 Author(s)
Rudolph, O. ; ABB Calor Emag Schaltanlagen AG, Germany ; Zierhut, W. ; Badent, R.

For several years the interest in automated analysis of partial discharge (PD) measurement has increased, because manual PD pattern interpretation by human experts is one of the most powerful diagnostic methods for design and improvement of electrical HV equipment. The main aspect is the interpretation of the phase resolved PD patterns. A database of 4000 PD patterns of on-site measurements has now been used for basic investigations with neural networks. In a first step, 500 of them have been pre-selected and classified by a human expert. These files have been classified into 44 classes. For a better understanding of the general recognition abilities of NNs, patterns of on-site measurements have been artificially modified by splitting of PD matrices, using picture smoothing algorithms and zero value adjustment

Published in:

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

Date of Conference:

1999

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.