Statistical Analysis and Fuzzy Logic Identification of Partial Discharge in Paper-Oil Insulation Systems
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.
X.Chen A.Cavallini G.C.Montanari
DIE-LIMAT, University of Bologna Viale Risorgimento 2,40136 Bologna, Italy SKLEI, Xian Jiaotong Uni DIE-LIMAT, University of Bologna Viale Risorgimento 2,40136 Bologna, Italy
国际会议
哈尔滨
英文
505-508
2009-07-19(万方平台首次上网日期,不代表论文的发表时间)