DocumentCode
1361131
Title
Model-aided diagnosis-a new method for online condition assessment of high voltage circuit breakers
Author
Stanek, Michael ; Fröhlich, Klaus
Author_Institution
High Voltage Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
Volume
15
Issue
2
fYear
2000
fDate
4/1/2000 12:00:00 AM
Firstpage
585
Lastpage
591
Abstract
In recent years, online condition assessment of high voltage equipment is increasingly asked for by power utilities, however, most systems on the market today are merely monitoring solutions with hardly any diagnostic capabilities. This report reviews the basic principles for condition diagnosis from the field of artificial intelligence and introduces a novel strategy, named model-aided diagnosis (MAiD). It was initially developed for condition assessment of high voltage circuit breakers but is also suitable for other technical devices. Theoretical considerations as well as practical results show that MAiD is a useful strategy for condition assessment. In addition, with its low hardware requirements, it allows online condition diagnosis of high voltage circuit breakers locally by a low-cost monitoring device
Keywords
circuit breakers; computerised monitoring; condition monitoring; switchgear testing; MAiD; artificial intelligence; condition assessment; condition diagnosis; high-voltage circuit breakers; model-aided diagnosis; online condition assessment; power utilities; Artificial intelligence; Circuit breakers; Circuit faults; Condition monitoring; Fault diagnosis; Hardware; Manufacturing; Power system modeling; Substations; Voltage;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/61.852989
Filename
852989
Link To Document