Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001) |
| Subtitle of host publication | 2001 Asian Conference on Electrical Insulation Diagnosis (ACEID 2001). 33rd Symposium on Electrical and Electronic Insulating Materials and Applications in Systems |
| Pages | 579-582 |
| Number of pages | 4 |
| Publication status | Published - 2001 |
| Event | International Symposium on Electrical Insulating Materials (ISEIM 2001) - Himeji, Japan Duration: 19 Nov 2001 → 22 Nov 2001 |
Abstract
In this contribution the applicability of different neural classifiers trained by sectional winding transfer functions (SWTFs) of transformer coils for evaluating wideband electrical measured partial discharges (PD) is presented and discussed. Based on PD measurements on a distribution transformer in the laboratory it is demonstrated, that the introduced technique enables beside a determination of the apparent charge an adequate localisation of the PD origin. The performance and the reproducibility of this method leads to a short outlook on planned investigations and the possibilities for integrating this technique in online condition monitoring systems.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Materials Science(all)
- General Materials Science
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Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001): 2001 Asian Conference on Electrical Insulation Diagnosis (ACEID 2001). 33rd Symposium on Electrical and Electronic Insulating Materials and Applications in Systems . 2001. p. 579-582.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Partial discharge localisation on power transformers using neural networks combined with sectional winding transfer functions as knowledge base
AU - Werle, Peter
AU - Akbari Azirani, Asghar
AU - Borsi, H.
AU - Gockenbach, Ernst
N1 - Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.
PY - 2001
Y1 - 2001
N2 - In this contribution the applicability of different neural classifiers trained by sectional winding transfer functions (SWTFs) of transformer coils for evaluating wideband electrical measured partial discharges (PD) is presented and discussed. Based on PD measurements on a distribution transformer in the laboratory it is demonstrated, that the introduced technique enables beside a determination of the apparent charge an adequate localisation of the PD origin. The performance and the reproducibility of this method leads to a short outlook on planned investigations and the possibilities for integrating this technique in online condition monitoring systems.
AB - In this contribution the applicability of different neural classifiers trained by sectional winding transfer functions (SWTFs) of transformer coils for evaluating wideband electrical measured partial discharges (PD) is presented and discussed. Based on PD measurements on a distribution transformer in the laboratory it is demonstrated, that the introduced technique enables beside a determination of the apparent charge an adequate localisation of the PD origin. The performance and the reproducibility of this method leads to a short outlook on planned investigations and the possibilities for integrating this technique in online condition monitoring systems.
UR - http://www.scopus.com/inward/record.url?scp=0035722427&partnerID=8YFLogxK
U2 - 10.1109/ISEIM.2001.973734
DO - 10.1109/ISEIM.2001.973734
M3 - Conference contribution
AN - SCOPUS:0035722427
SN - 4-88686-053-2
SP - 579
EP - 582
BT - Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001)
T2 - International Symposium on Electrical Insulating Materials (ISEIM 2001)
Y2 - 19 November 2001 through 22 November 2001
ER -