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
fDate :
4/1/2000 12:00:00 AM
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;
Journal_Title :
Power Delivery, IEEE Transactions on