DocumentCode
303488
Title
Digital signal processing methods for interference recognition in partial discharge measurement-a comparison
Author
Buchalla, H. ; Flohr, Thomas ; Pfeiffer, W.
Author_Institution
Dept. of Electr. Power Eng., Tech. Univ. Darmstadt
Volume
1
fYear
1996
fDate
16-19 Jun 1996
Firstpage
393
Abstract
Partial discharge (PD) testing is well known for the examination of the insulation characteristics of high voltage equipment. For low voltage components like relays, optocouples etc. PD testing is also of growing interest to ensure the quality of the products and the manufacturing process. The application for pieces testing of mass products in an industrial environment implies automatic interference recognition and short test cycle times. These features can be obtained using digital signal processing methods. In this paper, three different methods, the tolerance band method, the correlation factor analysis and the cross correlation analysis are introduced and their application to automatic PD testing is shown and discussed
Keywords
automatic testing; correlation methods; electric breakdown; insulation testing; partial discharges; pattern recognition; signal processing; automatic interference recognition; correlation factor analysis; cross correlation analysis; digital signal processing methods; industrial environment; insulation breakdown testing; low voltage components; mass products; partial discharge measurement; pieces testing; test automation; tolerance band method; Automatic testing; Data processing; Digital signal processing; Frequency; Insulation testing; Interference; Partial discharge measurement; Partial discharges; Pulse measurements; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation, 1996., Conference Record of the 1996 IEEE International Symposium on
Conference_Location
Montreal, Que.
ISSN
1089-084X
Print_ISBN
0-7803-3531-7
Type
conf
DOI
10.1109/ELINSL.1996.549364
Filename
549364
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