Intelligent Diagnostic Reasoning System deployment process and results

Author

Cosgriff, Pat ; Harris, Michelle ; Helton, Alicia

Author_Institution

Ogden Air Logistics Center, Ogden, UT

fYear

2008

fDate

8-11 Sept. 2008

Firstpage

154

Lastpage

158

Abstract

Lockheed Martin Simulation, Training & Support (LM STS) has developed an Intelligent Diagnostic Reasoning System (IDRS) that can reduce the time and cost to diagnose a failure by isolating to the fault more quickly and reducing callout ambiguity. IDRS uses engineering knowledge and historical test and maintenance data to develop diagnostic models enabling intelligent decision support. IDRS models and services are based on the IEEE 1232^trade Artificial Intelligence Exchange and Service Tie to All Test Environment (AI-ESTATE) standard. IDRS is deployed at Ogden Air Logistics Center (OO-ALC) through a partnership between LM STS and OO-ALC 309^th Maintenance Wing (309 MXW) Software Maintenance Group and Electronics Maintenance Group at Hill Air Force Base. This paper will outline the selection of the Line Replaceable Unit (LRU), the deployment of IDRS, the results obtained, and the benefits of IDRS.

Keywords

automatic test equipment; decision support systems; fault diagnosis; military computing; 309 MXW Software Maintenance Group; AI-ESTATE standard; Electronics Maintenance Group; Hill Air Force Base; IDRS models; IDRS services; IEEE 1232 Artificial Intelligence Exchange and Service Tie to All Test Environment; LM STS; Lockheed Martin Simulation Training & Support; OO-ALC 309th Maintenance Wing; Ogden Air Logistics Center; callout ambiguity; diagnostic models; engineering knowledge; failure diagnosis; historical test; intelligent decision support; intelligent diagnostic reasoning system deployment process; line replaceable unit; maintenance data; Artificial intelligence; Automatic testing; Bayesian methods; Costs; Electronic equipment testing; Intelligent systems; Logistics; Sociotechnical systems; Software maintenance; System testing; AI-ESTATE; Bayesian;

fLanguage

English

Publisher

ieee

Conference_Titel

AUTOTESTCON, 2008 IEEE

Conference_Location

Salt Lake Cirty, UT

ISSN

1088-7725

Print_ISBN

978-1-4244-2225-8

Electronic_ISBN

1088-7725

Type

conf

DOI

10.1109/AUTEST.2008.4662603

Filename

4662603