Power Transformer Fault Detection: A Comparison of Standard Machine Learning and autoML Approaches

Power Transformer Fault Detection: A Comparison of Standard Machine Learning and autoML Approaches

A key component for the performance, availability, and reliability of power grids is the power transformer. Although power transformers are very reliable assets, the early detection of incipient degradation mechanisms is very important to preventing failures that may shorten their residual life. In...

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Bibliographic Details
Main Authors: Guillermo Santamaria-Bonfil, Gustavo Arroyo-Figueroa, Miguel A. Zuniga-Garcia, Carlos Gustavo Azcarraga Ramos, Ali Bassam
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
transformer fault diagnosis
machine learning
automatic machine learning
power systems
Online Access:https://www.mdpi.com/1996-1073/17/1/77

Internet

https://www.mdpi.com/1996-1073/17/1/77

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