Density-based clustering methods for unsupervised separation of partial discharge sources
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference23 articles.
1. New clustering techniques based on current peak value, charge and energy calculations for separation of partial discharge sources;Rodrigo Mor;IEEE Trans Dielectr Electr Insul,2017
2. Estimation of charge, energy and polarity of noisy partial discharge pulses;Rodrigo Mor;IEEE Trans Dielectr Electr Insul,2017
3. Comparison of charge estimation methods in partial discharge cable measurements;Rodrigo Mor;IEEE Trans Dielectr Electr Insul,2015
4. Effect of acquisition parameters on equivalent time and equivalent bandwidth algorithms for partial discharge clustering;Rodrigo Mor;Int J Electr Power Energy Syst,2017
5. Partial discharge and noise separation by means of spectral-power clustering techniques;Ardila-Rey;IEEE Trans Dielectr Electr Insul,2013
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