Wavelet Analysis for Estimation of Mean-Curve of Impulse Waveforms Superimposed by Noise, Oscillations and Overshoot

Satish, L and Gururaj, BI (2001) Wavelet Analysis for Estimation of Mean-Curve of Impulse Waveforms Superimposed by Noise, Oscillations and Overshoot. In: IEEE Transactions on Power Delivery, 16 (1). pp. 116-121.

Preview

PDF wavelet_analysis.pdf Download (88kB)

Abstract

This paper describes a novel approach to estimate the mean-curve of impulse voltage waveforms that are recorded during impulse tests. These waveforms in practice are superposed by noise, oscillations, and overshoot. The approach is based on multiresolution signal decomposition (a kind of wavelet transform) and has many advantages over existing methods, since it does not assume any model for estimating the mean-curve, is interactive in nature, suitable for full and chopped impulses, does not introduce distortions due to its application, is easy to implement and does not call for changes to existing standards. Results presented show its applicability.

Item Type:	Journal Article
Publication:	IEEE Transactions on Power Delivery
Publisher:	IEEE
Additional Information:	©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Keywords:	Digital processing;IEC 60060-1;IEC 61083-2;impulse testing;mean-curve;multiresolution signal decomposition;wavelet transform
Department/Centre:	Division of Electrical Sciences > High Voltage Engineering (merged with EE)
Date Deposited:	22 Aug 2008
Last Modified:	19 Sep 2010 04:16
URI:	http://eprints.iisc.ac.in/id/eprint/1947

Actions (login required)

View Item