Partial Discharges Identification and Localisation within Transformer Windings

被引:4
作者
Ali, N. H. Nik [1 ]
Ariffin, A. Mohd [2 ]
Rapisarda, P. [3 ]
Lewin, P. L. [3 ]
机构
[1] Univ Teknol Malaysia, Fac Elect Engn, Shah Alam 40450, Malaysia
[2] Univ Tenaga Nas, Jalan Ikram UNITEN, Kajang 43000, Selangor Darul, Malaysia
[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
关键词
Partial discharges; Condition monitoring; Current measurement; Windings; Clustering algorithms; Insulators; Wideband; partial discharge (PD); signal processing; transformer windings; S TRANSFORM; PD SOURCES; SEPARATION; DISCRIMINATION; DECOMPOSITION;
D O I
10.1109/TDEI.2020.008706
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study proposes a technique that is based on the hypothesis that distinct PD sources have unique PD waveform characteristics at the point of measurement. Two different forms of PD pulses are injected into a model transformer winding at different points and by using wideband radio frequency current transformers (RFCTs), measurement data are obtained by positioning the RFCTs at the neutral-to-earth point of the winding and the bushing tap-point-to-earth. Mathematical morphology energy analysis using ordering points to identify clustering structure and signal cross correlation methods are utilized to extract information from the raw measurement data. Assessment of the relative performance of the analytical methods are examined and characterized in this study. The proposed approach allows automatic separation of PD data by source and localization of source site within the winding.
引用
收藏
页码:2095 / 2103
页数:9
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