Name
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 |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/19.963218 | Instrumentation and Measurement, IEEE Transactions |
Keywords | Field | DocType |
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 | Partial discharge,Neuro-fuzzy,Fuzzy logic,Electronic engineering,Pulse (signal processing),Control engineering,Fuzzy neural nets,Artificial neural network,Mathematics,Wavelet transform | Journal |
Volume | Issue | ISSN |
50 | 5 | 0018-9456 |
Citations | PageRank | References |
3 | 0.67 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carminati, E. | 1 | 3 | 0.67 |
| L. Cristaldi | 2 | 81 | 24.06 |
| Massimo Lazzaroni | 3 | 110 | 30.84 |
| Monti, A. | 4 | 3 | 0.67 |