Accurate power transformer PD pattern recognition via its model
Author:
Affiliation:
1. Faculty of EngineeringShahid Chamran University of AhvazAhvazIran
2. Electrical Engineering Departments and Center of Excellence in Power System Management and ControlSharif University of TechnologyTehranIran
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2016.0075
Reference22 articles.
1. Classification of common partial discharge types in oil‐paper insulation system using acoustic signals;Harbaji M.;IEEE Trans. Dielectr. Electr. Insul.,2015
2. A methodology for identification and localization of partial discharge sources using optical sensors;Biswas S.;IEEE Trans. Dielectr. Electr. Insul.,2012
3. A novel method for ultra-high-frequency partial discharge localization in power transformers using the particle swarm optimization algorithm
4. Advancing new techniques for UHF PD detection and localization in the power transformers in the factory tests;Mirzaei H.;IEEE Trans. Dielectr. Electr. Insul.,2015
5. IEEE C57.113‐2010: ‘IEEE recommended practice for partial discharge measurement in liquid‐filled power transformers and shunt reactors’ 2010
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