Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization

Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization

The early detection of the transformer faults with high accuracy rates guarantees the continuous operation of the power system networks. Dissolved gas analysis (DGA) is a technique that is used to detect or diagnose the transformer faults based on the dissolved gases due to the electrical and therma...

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Bibliographic Details
Main Authors: Sherif S. M. Ghoneim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Dissolved gas analysis
transformer faults
TLBO algorithm
insulating oil
uncertainty
Online Access:https://ieeexplore.ieee.org/document/9356589/

Internet

https://ieeexplore.ieee.org/document/9356589/

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