Statistical Analysis and Fuzzy Logic Identification of Partial Discharge in Paper-Oil Insulation Systems

被引：0
|
作者：
Chen, X. [1 ]
Cavallini, A. [1 ]
Montanari, G. C. [1 ]
机构：
[1] Univ Bologna, DIE LIMAT, I-40136 Bologna, Italy
来源：
ICPADM 2009: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS, VOLS 1-3 | 2009年
关键词：
D O I：
暂无
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 research aims at establishing criteria for the automatic identification of defects in paper/oil insulation systems. Statistical analysis of partial discharge (PD) data collected in a reference database (built up from tests on artificial defects: internal PD, surface PD, corona and discharges due to bubbles in oil) is carried out to highlight the best identification markers. The development of an automatic identification system based on fuzzy logic is presented. Eventually, applications of identification are discussed.
引用
收藏
页码：505 / 508
页数：4
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