Fast identification of partial discharge sources using blind source separation and kurtosis
Author:
Affiliation:
1. Department of Electrical EngineeringÉcole de Technologie SupérieureMontréalQuébecCanada
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2015.2957
Reference8 articles.
1. An experimental characterization of substation impulsive noise for a RF channel model;Au M.;PIERS Proc.,2013
2. A model of electromagnetic interferences induced by corona discharges for wireless channels in substation environments;Au M.;IEEE Trans. Electromagn. Compat.,2015
3. 10.1162/jmlr.2003.4.7-8.1261
4. Analysis of transient impulsive noise in a Poisson field of interferers for wireless channel in substation environments;Au M.;Arxiv,2015
5. Stochastic properties of partial‐discharge phenomena;Van Brunt R.J.;IEEE Trans. Electr. Insul.,1991
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2. Automatic Estimation of Multiplicity in Partial Discharge Sources Using Machine Learning Techniques;Lecture Notes in Electrical Engineering;2022
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4. A Location Method for Partial Discharge Using Time Reversal and Improved Whale Optimization Algorithm;IEEE Access;2020
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