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 SAPPHIRE^TM, 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