A new algorithm for the identification of defects generating partial discharges in rotating machines

Author

Cavallini, A. ; Conti, M. ; Contin, A. ; Montanari, G.C. ; Puletti, F.

Author_Institution

DIE, Bologna Univ., Italy

fYear

2004

fDate

19-22 Sept. 2004

Firstpage

204

Lastpage

207

Abstract

This paper describes a new algorithm for the automatic identification of the type of partial discharge sources in insulation systems of rotating machine stator windings. The proposed algorithm is based on fuzzy rules that associate each partial discharge phenomenon to a fuzzy space class trough a tree path selection. The output is a simple frame where the defect type and a membership are evidenced. Applications of the algorithm to analyze data collected both on field and in laboratory are reported and discussed to show its validity and robustness.

Keywords

automatic testing; electric machine analysis computing; fault diagnosis; fuzzy reasoning; insulation testing; machine insulation; machine testing; partial discharge measurement; stators; algorithm robustness; automatic defect identification; defect types; fuzzy rules; fuzzy space class; partial discharge source; rotating machine insulation system; stator windings; tree path selection; Crosstalk; Delamination; Dielectrics and electrical insulation; Fuzzy logic; Fuzzy systems; Noise shaping; Partial discharges; Pulse generation; Rotating machines; Stator windings;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on

ISSN

1089-084X

Print_ISBN

0-7803-8447-4

Type

conf

DOI

10.1109/ELINSL.2004.1380520

Filename

1380520