Accurate power transformer PD pattern recognition via its model

Author:

Rostaminia Reza1,Saniei Mohsen1,Vakilian Mehdi2,Mortazavi Seyyed Saeedollah1,Parvin Vahid2

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

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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