A feature based method for partial discharge source classification

Lewin, P.L., Petrov, L.A. and Hao, L (2012) A feature based method for partial discharge source classification. In, 2012 IEEE International Symposium on Electrical Insulation (ISEI 2012), San Juan, PR, 10 - 13 Jun 2012. 6pp.


[img] PDF - Version of Record
Restricted to Registered users only

Download (468Kb) | Request a copy


This paper describes a method for processing PD data captured using a wide bandwidth non-conventional PD sensor such as a radio frequency current transducer (RFCT). The method allows the discrimination between PD signals from multiple PD sources captured by the single sensor. Fundamentally the discrimination is based on the assumption that PD events from the same source will have very similar signatures in terms of time and frequency information whereas there are measurable differences in the signatures of two PD signals from different sources. To visualize this, it is possible to use a dimension reduction technique such that the features of each signal are represented as a single point in three-dimensional space. This process creates clusters of similar signals that can then be analyzed separately as a subset of the original captured data. This approach has been used to analyze PD signal data captured using RFCTs placed around the earth connections of 11 kV three phase belted cables in the UK and Cyprus. Obtained results are analyzed and presented in this paper.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 340716
Accepted Date and Publication Date:
12 June 2012Delivered
12 June 2012Made publicly available
Date Deposited: 04 Jul 2012 12:40
Last Modified: 31 Mar 2016 14:30
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/340716

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics