Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques

Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques

Power transformers are one of the most important elements of electrical power systems. The fast diagnosis of transformer faults improves the efficiency of power systems. One of the most favored methodologies for transformer fault diagnostics is based on dissolved gas analysis (DGA) techniques, inclu...

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Bibliographic Details
Main Authors: Sahar R. Al-Sakini, Ghassan A. Bilal, Ahmed T. Sadiq, Wisam Abed Kattea Al-Maliki
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
fault prediction
transformer fault diagnostic
DGA
machine learning
conventional methods
Online Access:https://www.mdpi.com/2076-3417/15/1/118
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