Partial discharge pattern analysis using PCA and back-propagation artificial neural network for the estimation of size and position of metallic particle adhering to spacer in GIS
Crossref DOI link: https://doi.org/10.1007/s00202-015-0343-4
Published Online: 2015-07-24
Published Print: 2016-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Khan, Yasin
Funding for this research was provided by:
Deanship of Scientific Research (DSR) at King Saud University, Riyadh, Saudi Arabia (RGP-1436-012.)
Text and Data Mining valid from 2015-07-24