Classification of partial discharge events in GILBS using probabilistic neural networks and the fuzzy c-means clustering approach
Author:
Funder
National Science Council of the ROC
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference26 articles.
1. Partial discharge analysis using energy patterns;Deshpande;Int J Electr Power Energy Syst,2013
2. A comprehensive circuit model for partial discharge activities in cable insulation due to electrical treeing;Najafi;Int J Electr Power Energy Syst,2013
3. Phase determination of partial discharge source in three-phase transmission lines using discrete wavelet transform and probabilistic neural networks;Su;Int J Electr Power Energy Syst,2013
4. Partial discharge recognition based on SF6 decomposition products and support vector machine;Tang;IET Sci Meas Technol,2012
5. Identification of partial discharge location using probabilistic neural networks and the fuzzy c-means clustering approach;Hsieh;Electric Power Compon Syst,2014
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