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Time-Frequency Scalograms of Deep Learning-Based Partial Discharge Classification in Air-Insulated Switchgear Using UHF Detection

Hakima Cherif✉, Ciptian Weried Priananda, Hazlee Azil Illias, Chan Jun Qiang, Wong Jee Keen Raymond, Ali Chemsa

Résumé

Partial discharge (PD) monitoring is essential for the condition assessment of air-insulated switchgear (AIS). This paper presents an experimental framework that acquires ultra-high-frequency (UHF) PD signals corresponding to four representative insulation defects: corona, surface, floating electrode, and triple junction. The collected signals are transformed into time–frequency representations us...

Détails

Langue originaleEnglish
RevueIEEE Transactions on Dielectrics and Electrical Insulation
VolumePP
Numéro99
Numéro d’article11547241
Pages1-1
DOI10.1109/tdei.2026.3699319
Statut de publicationPublié — 2026
Time-Frequency Scalograms of Deep Learning-Based Partial Discharge Classification in Air-Insulated Switchgear Using UHF Detection — Portail de la recherche