Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion

Author:

Demirci Merve,Gözde Haluk,Taplamacioglu M. Cengiz

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference53 articles.

1. IEEE Std C57.104TM- 2019, IEEE Power and Energy Society;IEEE Guide for the Interpretation of Gases Generated in Mineral Oil-Immersed Transformers,2019

2. Novel protection scheme of stator single-phaseto-ground fault for powerformers;Wang;Int J Electric Power Energy Syst,2013

3. Leraning from even a weak teacher: bridging rule-based Duval method and a deep neural network for power transformer fault diagnosis;Kim;Int J Electric Power Energy Syst,2022

4. Multi-modal information analysis for fault diagnosis with time series data from power transformer;Xing;Int J Electric Power Energy Syst,2023

5. Mineral Oil-Impregnated Electrical Equipment in Service–Guide to the Interpretation of Dissolved and Free Gases Analysis; IEC 60599 Standard: Geneva, Switzerland;IEC 60599 Standard,2007

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