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MH-WMG: A Multi-Head Wavelet-Based MobileNet with Gated Linear Attention for Power Grid Fault Diagnosis

Artificial intelligence is increasingly embedded in power systems to boost efficiency, reliability, and automation. This study introduces an end-to-end, AI-driven fault-diagnosis pipeline built around a Multi-Head Wavelet-based MobileNet with Gated Linear Attention (MH-WMG). The network takes time-s...

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Principais autores: Yousef Alkhanafseh, Tahir Cetin Akinci, Alfredo A. Martinez-Morales, Serhat Seker, Sami Ekici
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Applied Sciences
Assuntos:
convolution neural network
image classification
power system
short-circuit faults
time series analysis
wavelet transform
Acesso em linha:https://www.mdpi.com/2076-3417/15/20/10878
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