Details
| Original language | English |
|---|---|
| Title of host publication | IEE Conference Publication |
| Pages | 5.29.S8-5.32.S8 |
| Edition | 467 |
| Publication status | Published - 1999 |
| Event | 1999 11th International Symposium on 'High Voltage Engineering' (ish99) - London, UK Duration: 23 Aug 1999 → 27 Aug 1999 |
Publication series
| Name | IEE Conference Publication |
|---|---|
| Number | 467 |
| Volume | 5 |
| ISSN (Print) | 0537-9989 |
Abstract
In this article investigations on hierarchical cluster analysis methods concerning their ability to evaluate broadband measured Partial Discharges (PD) are presented. Therefore different cluster algorithms were tested with various data measured in the laboratory on a special modified distribution transformer and with measurements from, a power transformer on-site. A comparison of the results obtained by different cluster analyses shows that these methods are suitable for a location of PD sources inside transformers as well as for a separation of these partial discharges from pulse shaped noises, e.g. corona impulses. In order to achieve a higher efficiency and performance in evaluating PD signals cluster algorithms are combined with additional pattern recognition methods in a modular structured monitoring system for transformers.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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IEE Conference Publication. 467. ed. 1999. p. 5.29.S8-5.32.S8 (IEE Conference Publication; Vol. 5, No. 467).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Hierarchical cluster analysis of broadband measured partial discharges as part of a modular structured monitoring system for transformers
AU - Werle, Peter
AU - Borsi, H.
AU - Gockenbach, Ernst
N1 - Copyright: Copyright 2007 Elsevier B.V., All rights reserved.
PY - 1999
Y1 - 1999
N2 - In this article investigations on hierarchical cluster analysis methods concerning their ability to evaluate broadband measured Partial Discharges (PD) are presented. Therefore different cluster algorithms were tested with various data measured in the laboratory on a special modified distribution transformer and with measurements from, a power transformer on-site. A comparison of the results obtained by different cluster analyses shows that these methods are suitable for a location of PD sources inside transformers as well as for a separation of these partial discharges from pulse shaped noises, e.g. corona impulses. In order to achieve a higher efficiency and performance in evaluating PD signals cluster algorithms are combined with additional pattern recognition methods in a modular structured monitoring system for transformers.
AB - In this article investigations on hierarchical cluster analysis methods concerning their ability to evaluate broadband measured Partial Discharges (PD) are presented. Therefore different cluster algorithms were tested with various data measured in the laboratory on a special modified distribution transformer and with measurements from, a power transformer on-site. A comparison of the results obtained by different cluster analyses shows that these methods are suitable for a location of PD sources inside transformers as well as for a separation of these partial discharges from pulse shaped noises, e.g. corona impulses. In order to achieve a higher efficiency and performance in evaluating PD signals cluster algorithms are combined with additional pattern recognition methods in a modular structured monitoring system for transformers.
UR - http://www.scopus.com/inward/record.url?scp=0033335060&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0033335060
SN - 0852967195
T3 - IEE Conference Publication
SP - 5.29.S8-5.32.S8
BT - IEE Conference Publication
T2 - 1999 11th International Symposium on 'High Voltage Engineering' (ish99)
Y2 - 23 August 1999 through 27 August 1999
ER -