Title :
Uncertainty computations in model-based diagnostics
Author :
Sheppard, John W. ; Simpson, William R.
Author_Institution :
ARINC Res. Corp., Annapolis, MD, USA
Abstract :
The authors briefly describe the computational methods used in uncertainty data gathering (modified fuzzy logic), evidence accumulation (modified Dempster-Shafer), and termination of the evidence-gathering process (backpropagation neural network) as they are implemented in the POINTER system. An example demonstrates the proposed approach
Keywords :
artificial intelligence; automatic testing; fuzzy logic; inference mechanisms; learning systems; neural nets; Dempster Shafer reasoning; POINTER; automatic testing; backpropagation neural network; evidence accumulation; evidence-gathering; model-based diagnostics; modified fuzzy logic; portable interactive troubleshooter; uncertainty data gathering; Artificial intelligence; Built-in self-test; Computational modeling; Electrohydraulics; Fuzzy logic; Inference mechanisms; Information analysis; Performance evaluation; System testing; Uncertainty;
Conference_Titel :
AUTOTESTCON '91. IEEE Systems Readiness Technology Conference. Improving Systems Effectiveness in the Changing Environment of the '90s, Conference Record.
Conference_Location :
Anaheim, CA
Print_ISBN :
0-87942-576-8
DOI :
10.1109/AUTEST.1991.197552
