Integrating diagnostic knowledge

Author

Havlicsek, Bruce L.

Author_Institution

Westinghouse Electr. Corp., Hunt Valley, MD, USA

fYear

1988

Firstpage

179

Lastpage

184

Abstract

Three model-based diagnostic approaches have been developed: heuristic probing, simulation using truth maintenance, and simulation using constraint relaxation. Heuristic probing uses a variety of information to determine the order in which measurements are made. Truth maintenance uses complex simulation models to compare measured and expected signal values and then derive a diagnosis. Simulation with constraint relaxation is similar to truth maintenance, but heuristics can be applied to limit the amount of simulation performed. The key feature of each approach is the elimination of manual diagnostic test programming

Keywords

automatic test equipment; automatic testing; digital simulation; expert systems; fault location; knowledge based systems; ATE; Westinghouse; artificial intelligence; constraint relaxation; diagnostic knowledge integration; expert diagnostic system; heuristic probing; simulation; truth maintenance; Automatic testing; Computational modeling; Computer simulation; Data mining; Databases; Personnel; Power engineering and energy; Power engineering computing; Power system modeling; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

AUTOTESTCON '88. IEEE International Automatic Testing Conference, Futuretest. Symposium Proceedings

Conference_Location

Minneapolis, MN

Type

conf

DOI

10.1109/AUTEST.1988.9607

Filename

9607