DocumentCode :
1546879
Title :
A neuro-fuzzy approach for the detection of partial discharge
Author :
Carminati, Edoardo ; Cristaldi, Loredana ; Lazzaroni, Massimo ; Monti, Antonello
Author_Institution :
Dipt. di Elettrotecnica, Politecnico di Milano, Italy
Volume :
50
Issue :
5
fYear :
2001
fDate :
10/1/2001 12:00:00 AM
Firstpage :
1413
Lastpage :
1417
Abstract :
Dielectric surfaces exposed to partial discharges (PD) undergo aging, which is reflected by changes in the discharge pulse form. An approach is described in which fuzzy logic and neural networks are used in conjunction with the wavelet transform to identify the parameters in the PD pulse form for the purpose of classifying the aging phenomena due to partial discharge degradation
Keywords :
ageing; fuzzy neural nets; inference mechanisms; partial discharge measurement; surface discharges; wavelet transforms; PD; aging; dielectric surfaces; discharge pulse form; electrical stress; inference rule set; membership functions; neuro-fuzzy approach; partial discharge detection; wavelet transform; Aging; Dielectrics; Fuzzy logic; Partial discharges; Pulse shaping methods; Space vector pulse width modulation; Sparks; Surface discharges; Thermal stresses; Wavelet transforms;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/19.963218
Filename :
963218
Link To Document :
بازگشت