|
Accession number;02A0423778
|
| Title;Advanced PD noise suppression and its relevance for computer aided PD defect identification. |
| Author;
KRANZ H-G
(Bergische Univ.-gh Wuppertal, Wuppertal, Deu)
|
Journal Title;Proceedings of the Symposium on Electrical and Electronic Insulating Materials and Applications in Systems
|
Journal Code:G0398B
|
ISSN:
|
|
VOL.33rd;NO.;PAGE.11-19(2001)
|
| Figure&Table&Reference;FIG.11, TBL.1, REF.17 |
| Pub. Country;Japan |
| Language;English |
| Abstract;Digital partial discharge(PD) defect identification has become state of the art. But computer aided procedures based on pattern recognition principles are negatively effected by pulse-shaped disturbances. It is pointed out that a sufficient noise suppression and noise resistivity is a must for automated diagnosis. A novel approach is presented, which improves the defect identification on-site at noisy conditions. The benefits and limits of expert diagnosis compared to machine intelligent systems are discussed. Experimental results are presented, taken into account hard- and software noise suppression components. It is shown that PD defect identification at operating voltages and respectively disturbed data is still a challenge. A method of resolution with an intelligent neural noise filter and noise resistant diagnosis concepts are discussed. (author abst.) |
|
|
|
Related Articles;
|
