Entropy application in partial discharge analysis with non-intrusive measurement
Date of Issue2012
International Congress on Computer Applications and Computational Science (2nd : 2011)
School of Electrical and Electronic Engineering
Partial discharge (PD) occurs when insulation deterioration happens in electrical apparatus. It is often detected in order to evaluate the state of insulation. For metal-clad equipments, external sensors which are easy to install and interruption-free on operations are preferred. However, their performances are compromised by heavy noise. Although time-frequency (TF) spectrum provides much information to discriminate PDs and noises, automatic selection remains a tough issue in field application. Entropy, a measure of disorder, is applied in this paper to extract PD pulses automatically. This entropy-based algorithm is implemented and examined by two field-collected datasets. Practical results show that true PDs can be identified and extracted effectively.
DRNTU::Engineering::Electrical and electronic engineering
© 2012 Springer-Verlag Berlin Heidelberg.