DocumentCode
3398411
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
fYear
2009
fDate
19-23 July 2009
Firstpage
505
Lastpage
508
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPADM.2009.5252381
Filename
5252381
Link To Document