DocumentCode :
1891831
Title :
Implementing AI-ESTATE with prognostic extensions in Java
Author :
Sturlaugson, Liessman ; Fortier, Nathan ; Donnelly, Patrick ; Sheppard, John W.
Author_Institution :
Dept. of Comput. Sci., Montana State Univ., Bozeman, MT, USA
fYear :
2013
fDate :
16-19 Sept. 2013
Firstpage :
1
Lastpage :
8
Abstract :
This paper is part of an ongoing effort to facilitate wider acceptance and further development of the IEEE Std 1232-2010 Standard for Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE). To that end, we describe a tool named SAPPHIRETM, which includes an implementation of AI-ESTATE in Java and a corresponding GUI tool that supports model creation and diagnostic inference of the standard´s Bayes Network Model (BNM). In addition, we describe extensions to the BNM as well as additional reasoner services that allow for representation and inference over dynamic Bayesian networks (DBNs) for standards-based prognostics.
Keywords :
Bayes methods; IEEE standards; Java; belief networks; graphical user interfaces; inference mechanisms; program testing; AI-ESTATE; Artificial Intelligence Exchange-and-Service Tie-to-All Test Environments; BNM; Bayes network model; DBN; GUI tool; IEEE 1232-2010 standard; Java; SAPPHIRE tool; diagnostic inference; dynamic Bayesian networks; model creation; reasoner services; standard-based prognostics; Bayes methods; Graphical user interfaces; IEEE standards; Libraries; Object oriented modeling; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON, 2013 IEEE
Conference_Location :
Schaumburg, IL
ISSN :
1088-7725
Print_ISBN :
978-1-4673-5681-7
Type :
conf
DOI :
10.1109/AUTEST.2013.6645086
Filename :
6645086
Link To Document :
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