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Self-Evolving Maintenance Knowledge Bases

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
69921
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
N041-010-1762
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
INTELLIGENT AUTOMATION SYSTEMS, INC.
75 5th Street NW Suite 312 Atlanta, GA 30308
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Self-Evolving Maintenance Knowledge Bases
Agency / Branch: DOD / NAVY
Contract: N68335-04-C-0178
Award Amount: $69,995.00
 

Abstract:

Intelligent Automation Systems, in collaboration with the Georgia Institute of Technology proposes the development of Self-Evolving Knowledge Base architecture. Specifically, this project will consist of 1) Analysis to identify maintenance related issues such as failure modes, criticality, etc for a selected test bed that will comprise of a critical subsystem or component; 2) Systematic knowledge engineering steps to characterize the maintenance, logistics, and inventory related issues, and to elicit domain as well as control knowledge; 3) Development of a novel architecture and algorithms for the integration of the control knowledge of self-evolution for a continuous improvement process in a feedback manner; 4) Development of testing plan to validate and verify the self-evolving architecture on a subsystem or component; and 5) Software demonstration of the framework. This proposal involves a novel artificial intelligence technique of reasoning and learning in episodic manner. This methodology forms the core of what is presented as a comprehensive CATER (CAse-based TEmporal Reasning) solution that will exhibit self-evolution process by improving the performance of knowledge-base by observing the feedback generated from multiple sources, such as maintenance logs, IETMs, inventory footprint, component statistics, etc. The solution has a built in capacity to reduce the uncertainty that is inherent in the PHM and maintenance processes.

Principal Investigator:

Irtaza Barlas
Vice President Software D
4045266188
irtaza.barlas@iasatl.com

Business Contact:

J. L. Dorrity
President
4045266188
lew.dorrity@iasatl.com
Small Business Information at Submission:

INTELLIGENT AUTOMATION SYSTEMS, INC.
75 5th Street NW Suite 312 Atlanta, GA 30308

EIN/Tax ID: 582269650
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No