Title :
An abductive expert system for interpretation of real-time data (of substations)
Author :
Dabbaghchi, Iraj ; Gursky, Richard J.
Author_Institution :
American Electric Power Service Corp., Columbus, OH, USA
fDate :
7/1/1993 12:00:00 AM
Abstract :
DINT, a data interpretation expert system which can provide an explanation of the real-time operating state of a substation to its operators, is described. DINT is based on a generalized version of the set covering model for diagnostic problem solving. This abductive reasoning model is an object-based, frame-like knowledge representation paradigm. Test cases illustrate the application of the model to the real-time operation of a substation.<>
Keywords :
data analysis; expert systems; knowledge representation; power system analysis computing; real-time systems; substations; DINT; abductive reasoning model; application; data interpretation; diagnostic problem solving; expert system; knowledge representation paradigm; power system analysis computing; real-time; set covering model; substations;
Journal_Title :
Power Delivery, IEEE Transactions on
