Noise suppression and data reduction for partial discharge measurements using orthogonal transformations
- verfasst von
- D. Wenzel, H. Borsi, Ernst Gockenbach
- 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.
- Organisationseinheit(en)
-
Fachgebiet Hochspannungstechnik und Asset Management (Schering-Institut)
- Typ
- Konferenzaufsatz in Fachzeitschrift
- Journal
- Conference Record of IEEE International Symposium on Electrical Insulation
- Seiten
- 292-295
- Anzahl der Seiten
- 4
- ISSN
- 0164-2006
- Publikationsdatum
- 1994
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Elektrotechnik und Elektronik, Bauwesen