Classification of Multiple Partial Discharge Sources Using Time-Frequency Analysis and Deep Learning

Classification of Multiple Partial Discharge Sources Using Time-Frequency Analysis and Deep Learning

Partial discharge (PD) analysis is critical for diagnosing insulation degradation in high-voltage equipment. While conventional methods struggle with multi-source PD classification due to signal overlap and noise, this study proposes a hybrid approach combining five time–frequency analysis (TFA) tec...

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Bibliographic Details
Main Authors: Awad Almehdhar, Radek Prochazka
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
partial discharge
finite element method
time–frequency analysis
deep learning
convolutional neural network
high-voltage insulation
Online Access:https://www.mdpi.com/2076-3417/15/10/5455
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