Title :
Statistical analysis and fuzzy logic identification of partial discharge in paper-oil insulation system
Author :
Chen, X. ; Cavallini, A. ; Montanari, G.C.
Author_Institution :
DIE-LIMAT, Univ. of Bologna, Bologna, Italy
Abstract :
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.
Keywords :
flaw detection; fuzzy logic; fuzzy set theory; insulating oils; paper; partial discharges; statistical analysis; automatic defect identification; fuzzy logic identification; paper-oil insulation system; partial discharge; statistical analysis; Corona; Databases; Fuzzy logic; Insulation; Partial discharges; Petroleum; Signal processing; Statistical analysis; Surface discharges; Testing;
Conference_Titel :
Properties and Applications of Dielectric Materials, 2009. ICPADM 2009. IEEE 9th International Conference on the
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-4367-3
Electronic_ISBN :
978-1-4244-4368-0
DOI :
10.1109/ICPADM.2009.5252381
