DocumentCode
1326977
Title
Fundamentals in computer aided PD processing, PD pattern recognition and automated diagnosis in GIS
Author
Kranz, H.-G.
Author_Institution
Lab. fur Hochspannungstech., Bergische Univ., Wuppertal, Germany
Volume
7
Issue
1
fYear
2000
fDate
2/1/2000 12:00:00 AM
Firstpage
12
Lastpage
20
Abstract
The partial discharge (PD) measurement is a sensitive method for testing and monitoring the insulation condition of HV apparatus. Digital PD measurements have become state of the art. Computer-based PD diagnostic systems nowadays can be used to increase the reliability of modern gas-insulated system (GIS). Also on-line monitoring of HV equipment is becoming increasingly important to enable prevention of a sudden breakdown of PD affected components. On-line monitoring must be done on-site, but an important problem of on-site PD measurement is the superposition of PD data and interference. Furthermore, reliable recognition of the type or nature of the insulation defect is necessary for any risk assessment. Traditionally, this is achieved with reference to expert knowledge. An alternative approach is presented in this paper, which treats the fundamentals of automated computer-based PD diagnosis, taking into account that successful noise suppression is essential for a successful on-site diagnosis
Keywords
computerised monitoring; gas insulated substations; insulation testing; partial discharge measurement; pattern recognition; HV equipment; automated diagnosis; computer aided processing; digital measurement; gas-insulated system; insulation testing; noise suppression; on-line monitoring; on-site measurement; partial discharge measurement; pattern recognition; Computerized monitoring; Condition monitoring; Electric breakdown; Geographic Information Systems; Insulation testing; Interference; Partial discharge measurement; Partial discharges; Quantum computing; Risk management;
fLanguage
English
Journal_Title
Dielectrics and Electrical Insulation, IEEE Transactions on
Publisher
ieee
ISSN
1070-9878
Type
jour
DOI
10.1109/94.839336
Filename
839336
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