A novel partial discharge signal detection and estimation method: Mycielski algorithm
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02656-6.pdf
Reference26 articles.
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2. Jineeth J, Mallepally R, Sindhu TK (2018) Classification of partial discharge sources in XLPE cables by artificial neural networks and support vector machine. IEEE Electr Insul Conf 2018:407–411. https://doi.org/10.1109/EIC.2018.8481124
3. Ji X, Li Y, Wang Z, Wang F, Liu Q (2011) Partial discharge pattern recognition of XLPE cable connector based on support vector machine. Int Conf Electr Control Eng Proc 2011:2422–2425. https://doi.org/10.1109/ICECENG.2011.6058039
4. Raymond WJK, Illias HA, Bakar AHA (2017) High noise tolerance feature extraction for partial discharge classification in XLPE cable joints. IEEE Trans Dielectr Electr Insul 24(1):66–74. https://doi.org/10.1109/TDEI.2016.005864
5. Sahoo NC, Salama MMA, Bartnikas R (2005) Trends in partial discharge pattern classification: a survey. IEEE Trans Dielectr Electr Insul 12(2):248–264. https://doi.org/10.1109/TDEI.2005.1430395
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