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ANALYSIS AND DE-NOISING OF PARTIAL DISCHARGE SIGNALS IN MEDIUM VOLTAGE XLPE CABLES

عنوان مقاله: ANALYSIS AND DE-NOISING OF PARTIAL DISCHARGE SIGNALS IN MEDIUM VOLTAGE XLPE CABLES
شناسه ملی مقاله: ENGCONF01_051
منتشر شده در کنفرانس بین المللی افق های نو در علوم مهندسی در سال 1396
مشخصات نویسندگان مقاله:

ahmad moradi - Student of Islamic azad university south Tehran branch
mohammad mortazi - Student of Islamic azad university south Tehran branch
alireza nadi polkhabi - Sudent of Islamic azad university of karaj

خلاصه مقاله:
The partial discharge (PD) measurements have been widely used in the field of insulation diagnostics . The presence of partial discharges inside the cable indicates the degradation of insulation material . This paper deals with the development of insulation diagnostic method based on the partial discharge measurements . The useful information about the partial discharge activity and insulation defects is extracted by the experimental results . A measuring test setup was established in the high voltage laboratory . Artificial cavity was introduced inside the MV XLPE cable by using the traditional needleplane configuration . The aim of study was to interpret the variations in the partial discharge characteristics over the insulation ageing period in terms of physical phenomenon’s taking place in PD sources . The statistical characteristics formulated with the help of PRPDA technique and characteristics by using HFCT sensor were studied and analyzed . The variations in these characteristics allow to diagnose the insulation conditions as well as detect the type of discharge mechanisms . In order to design an efficient de-noising filter for onsite and online PD monitoring system . various factors such as optimal wavelet selection, number of decomposition levels and threshold setting has been studied . An automated de-noising based on the frequency characteristics of partial discharge signals has been presented in this study .

کلمات کلیدی:
Partial Discharge characteristics, XLPE insulated cables, insulation degradation, monitoring, PRPDA

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/781212/