Identification of Defects Generating PD in AC Rotating Machines by Means of Fuzzy-Tools

Author

Contin, A. ; Tessarolo, A.

Author_Institution

DEEI, Trieste

fYear

2008

fDate

9-12 June 2008

Firstpage

558

Lastpage

562

Abstract

A novel fuzzy-algorithm for the identification of different defect typologies that generate partial discharges in insulation systems of AC rotating machines, is described in this paper. It relies on a set of parameters, organized in a tree- structure, capable of describing the shape of the phase-resolved partial discharge patterns. The tree-structure and its inspection resort to fuzzy-logic to carry out outputs that reflect the uncertainty of the shape analysis in the identification results. Both training and working examples are also discussed.

Keywords

AC machines; fuzzy logic; insulation testing; machine insulation; partial discharge measurement; power engineering computing; AC rotating machines; automatic shape analysis; defect typology identification; fuzzy logic; insulation systems; partial discharge generation; phase-resolved partial discharge patterns; tree structure; AC generators; Dielectrics and electrical insulation; Inspection; Partial discharges; Pattern analysis; Robustness; Rotating machines; Shape measurement; Trees - insulation; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2008. ISEI 2008. Conference Record of the 2008 IEEE International Symposium on

Conference_Location

Vancouver, BC

ISSN

1089-084X

Print_ISBN

978-1-4244-2091-9

Electronic_ISBN

1089-084X

Type

conf

DOI

10.1109/ELINSL.2008.4570394

Filename

4570394