Improving Electrical Fault Detection Using Multiple Classifier Systems

Improving Electrical Fault Detection Using Multiple Classifier Systems

Machine Learning-based fault detection approaches in energy systems have gained prominence for their superior performance. These automated approaches can assist operators by highlighting anomalies and faults, providing a robust framework for improving Situation Awareness. However, existing approache...

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Bibliographic Details
Main Authors: José Oliveira, Dioeliton Passos, Davi Carvalho, José F. V. Melo, Eraylson G. Silva, Paulo S. G. de Mattos Neto
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
electrical transmission systems
situation awareness
fault detection
multiple classifier systems
ensemble
dynamic classifier selection
Online Access:https://www.mdpi.com/1996-1073/17/22/5787
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