By Topic

Insulation condition assessment of power equipments in electrical assets based on on-line monitoring of partial discharges

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 $13
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)
Montanari, G.C. ; Dept. of Electr. Eng., Univ. of Bologna, Bologna ; Cavallini, A.

Partial discharge (PD) measurements performed online can provide important information regarding insulation system reliability. However, PD detectors suitable for online measurements (or monitoring) should be endowed at least with tools that are able to deal with noise and multiple PD sources. PD source identification tools that can exploit data streams from other sensors are, moreover, very important in order to provide an accurate failure risk assessment. This paper gives specifications about PD detection systems suitable for monitoring purposes, describes a detector that fits these requirements and provide examples of processing and analysis of PD data detected on in-service apparatus.

Published in:

Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on

Date of Conference:

21-24 April 2008