Intelligent Health Monitoring of Capacitor Using Reduced Experimental Input Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-022-01328-4.pdf
Reference28 articles.
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2. Spanik P, Frivaldsky M and Kanovsky A (2014) Lifetime of the electrolytic capacitors in power applications. In: 2014 ELEKTRO, Rajecke Teplice, pp 233–238
3. Amaral AMR and Marques Cardoso AJ (2008) An automatic technique to obtain the equivalent circuit of aluminium electrolytic capacitors. In: 2008 34th Annual conference of IEEE industrial electronics, Orlando, FL, pp 539–544. https://doi.org/10.1109/IECON.2008.4758011
4. Dragičević T, Wheeler P, Blaabjerg F (2019) Artificial intelligence aided automated design for reliability of power electronic systems. IEEE Trans Power Electron 34(8):7161–7171. https://doi.org/10.1109/TPEL.2018.2883947
5. Soliman H, Wang H, Gadalla B, Blaabjerg F (2015) Artificial neural network algorithm for condition monitoring of DC-link capacitors based on capacitance estimation. J Renew Energy Sustain Dev (RESD) 1:294–299. https://doi.org/10.21622/resd.2015.01.2.294
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