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- W2099093603 abstract "Five typical insulation defect models in 110kV SF6-insulated switchgear (GIS) are deigned in this paper. Phase Resolved Partial Discharge (PRPD) spectrums for the five defects are constructed by Ultra High Frequency (UHF) method, and a dataset of 390 samples is established. By analysis of the PD distribution, a feature extraction method based on statistical theory is adopted. Finally, fuzzy c-means clustering (FCM) is introduced to analyze the natural similarity among the various typical insulation defects. The results show that the overall recognition rate is of 90.5% high and most of the defects can be roughly unified to their respective categories, except for some intersections of the surface contamination and viod in spacer defects. Streszczenie. W artykule zaproponowano sposob modelowania pieciu typowych uszkodzen izolacji w rozdzielnicy 110kV SF6. Przy uzyciu techniki fal decymetrowych, opracowano spektra wyladowan niezupelnych, wynikających z pieciu podstawowych defektow. Nastepnie przy wykorzystaniu analizy statystycznej oraz metody FCM (ang. Fuzzy c-means Clustering) dokonano porownania opisanych defektow. Wyniki pokazują bardzo wysoką skutecznośc wykrywania wiekszości awarii, z wyjątkiem niektorych rodzajow zanieczyszczen powierzchniowych oraz obecności prozni w przekladkach. (Analiza wyladowan niezupelnych, wynikających z typowych defektow materialow izolacyjnych w rozdzielniach elektrycznych- detekcja techniką fal decymetrowych)" @default.
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- W2099093603 date "2012-01-01" @default.
- W2099093603 modified "2023-09-27" @default.
- W2099093603 title "Investigation of Partial Discharge on Typical Defects with UHF Detection Method for GIS" @default.
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