Details
| Original language | English |
|---|---|
| Pages (from-to) | 20-23 |
| Number of pages | 4 |
| Journal | Conference Record of IEEE International Symposium on Electrical Insulation |
| Volume | 1 |
| Publication status | Published - 1998 |
| Event | 1998 IEEE International Symposium on Electrical Insulation. Part 1 (of 2) - Arlington, VA, USA Duration: 7 Jun 1998 → 10 Jun 1998 |
Abstract
The paper describes a modular structured measuring system for Partial Discharge (PD) recognition and localization on-site. The appearing noises are suppressed digitally with different filter algorithms each being best adapted to the respective noise signals. The suppression of sinusoidal continuous noises is realized by means of digital filters, whereas synchronous pulse shaped noises are eliminated by using adaptive correlation algorithms. A separation of the PD from noise pulses with stochastical appearance is performed with pattern recognition algorithms. Investigations of pulses measured exemplarily on transformers show, that the simultaneous employment of several algorithms leads to an increasing of the reliability of the evaluation. Also, a monitoring operation without any a priori knowledge about appearing signal shapes becomes possible. Besides the noise suppression, the same pattern recognition algorithms with changed parameters make a contribution to a localization of PD faults.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Building and Construction
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In: Conference Record of IEEE International Symposium on Electrical Insulation, Vol. 1, 1998, p. 20-23.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Measuring system based on modern signal processing methods for partial discharge recognition and localization on-site
AU - Wenzel, D.
AU - Borsi, H.
AU - Gockenbach, Ernst
N1 - Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.
PY - 1998
Y1 - 1998
N2 - The paper describes a modular structured measuring system for Partial Discharge (PD) recognition and localization on-site. The appearing noises are suppressed digitally with different filter algorithms each being best adapted to the respective noise signals. The suppression of sinusoidal continuous noises is realized by means of digital filters, whereas synchronous pulse shaped noises are eliminated by using adaptive correlation algorithms. A separation of the PD from noise pulses with stochastical appearance is performed with pattern recognition algorithms. Investigations of pulses measured exemplarily on transformers show, that the simultaneous employment of several algorithms leads to an increasing of the reliability of the evaluation. Also, a monitoring operation without any a priori knowledge about appearing signal shapes becomes possible. Besides the noise suppression, the same pattern recognition algorithms with changed parameters make a contribution to a localization of PD faults.
AB - The paper describes a modular structured measuring system for Partial Discharge (PD) recognition and localization on-site. The appearing noises are suppressed digitally with different filter algorithms each being best adapted to the respective noise signals. The suppression of sinusoidal continuous noises is realized by means of digital filters, whereas synchronous pulse shaped noises are eliminated by using adaptive correlation algorithms. A separation of the PD from noise pulses with stochastical appearance is performed with pattern recognition algorithms. Investigations of pulses measured exemplarily on transformers show, that the simultaneous employment of several algorithms leads to an increasing of the reliability of the evaluation. Also, a monitoring operation without any a priori knowledge about appearing signal shapes becomes possible. Besides the noise suppression, the same pattern recognition algorithms with changed parameters make a contribution to a localization of PD faults.
UR - http://www.scopus.com/inward/record.url?scp=0031640034&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0031640034
VL - 1
SP - 20
EP - 23
JO - Conference Record of IEEE International Symposium on Electrical Insulation
JF - Conference Record of IEEE International Symposium on Electrical Insulation
SN - 0164-2006
T2 - 1998 IEEE International Symposium on Electrical Insulation. Part 1 (of 2)
Y2 - 7 June 1998 through 10 June 1998
ER -