Details
| Original language | English |
|---|---|
| Pages (from-to) | 292-295 |
| Number of pages | 4 |
| Journal | Conference Record of IEEE International Symposium on Electrical Insulation |
| Publication status | Published - 1994 |
| Event | 1994 IEEE International Symposium on Electrical Insulation - Pittsburgh, PA, USA Duration: 5 Jun 1994 → 8 Jun 1994 |
Abstract
Partial discharge measurement at power transformers are often superposed with by disturbances and beset with problems caused by processing of huge amount of data. To reduce noise and data an effective method using orthogonal transformations was employed. On synthetically generated signals, choice of a suitable orthogonal transformation concentrates the signal energy in a small area of the observed spectrum. One of the methods used for noise reduction limits the disturbances by a transformation to a few spectral component. Another method limits the PD parts of the measured signal to a few spectral components and gives the user the possibility of effective data reduction. Discrete cosine transformation and discrete Hartley transformation are presented and compared with the DFT and FFT.
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, 1994, p. 292-295.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Noise suppression and data reduction for partial discharge measurements using orthogonal transformations
AU - Wenzel, D.
AU - Borsi, H.
AU - Gockenbach, Ernst
N1 - Copyright: Copyright 2004 Elsevier B.V., All rights reserved.
PY - 1994
Y1 - 1994
N2 - Partial discharge measurement at power transformers are often superposed with by disturbances and beset with problems caused by processing of huge amount of data. To reduce noise and data an effective method using orthogonal transformations was employed. On synthetically generated signals, choice of a suitable orthogonal transformation concentrates the signal energy in a small area of the observed spectrum. One of the methods used for noise reduction limits the disturbances by a transformation to a few spectral component. Another method limits the PD parts of the measured signal to a few spectral components and gives the user the possibility of effective data reduction. Discrete cosine transformation and discrete Hartley transformation are presented and compared with the DFT and FFT.
AB - Partial discharge measurement at power transformers are often superposed with by disturbances and beset with problems caused by processing of huge amount of data. To reduce noise and data an effective method using orthogonal transformations was employed. On synthetically generated signals, choice of a suitable orthogonal transformation concentrates the signal energy in a small area of the observed spectrum. One of the methods used for noise reduction limits the disturbances by a transformation to a few spectral component. Another method limits the PD parts of the measured signal to a few spectral components and gives the user the possibility of effective data reduction. Discrete cosine transformation and discrete Hartley transformation are presented and compared with the DFT and FFT.
UR - http://www.scopus.com/inward/record.url?scp=0028588426&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0028588426
SP - 292
EP - 295
JO - Conference Record of IEEE International Symposium on Electrical Insulation
JF - Conference Record of IEEE International Symposium on Electrical Insulation
SN - 0164-2006
T2 - 1994 IEEE International Symposium on Electrical Insulation
Y2 - 5 June 1994 through 8 June 1994
ER -