Uncertainty computations in model-based diagnostics

Author

Sheppard, John W. ; Simpson, William R.

Author_Institution

ARINC Res. Corp., Annapolis, MD, USA

fYear

1991

fDate

24-26 Sep 1991

Firstpage

233

Lastpage

241

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AUTEST.1991.197552

Filename

197552

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3010492