By Topic

Hierarchical cluster analysis of broadband measured partial discharges as part of a modular structured monitoring system for transformers

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)
Werle, P. ; Schering Inst. of High Voltage Tech. & Eng., Hannover Univ., Germany ; Borsi, H. ; Gockenbach, E.

In this article investigations on hierarchical cluster analysis methods concerning their ability to evaluate broadband measured partial discharges (PD) are presented. Therefore different cluster algorithms were tested with various data measured in the laboratory on a special modified distribution transformer and with measurements from a power transformer on-site. A comparison of the results obtained by different cluster analyses shows that these methods are suitable for a location of PD sources inside transformers as well as for a separation of these partial discharges from pulse shaped noises, e.g. corona impulses. In order to achieve a higher efficiency and performance in evaluating PD signals cluster algorithms are combined with additional pattern recognition methods in a modular structured monitoring system for transformers

Published in:

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

Date of Conference: