Multi-Agent Health Management System

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-09-C-0135
Agency Tracking Number: A082-147-1253
Amount: $120,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solitcitation Year: 2008
Solitcitation Topic Code: A08-147
Solitcitation Number: 2008.2
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400, Rockville, MD, 20855
Duns: 161911532
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Roger Xu
 Director, Signal Processing
 (301) 294-5242
 hgxu@i-a-i.com
Business Contact
 Mark James
Title: Director, Contracts and Proposals
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract
We propose to develop an intelligent multi-agent approach for distributed, dynamic, and active health management of fleet-wide ground vehicle subsystems/systems by incorporating advanced technologies in multi-disciplinary areas, such as software agent, signal processing, and data mining. In this framework, server-side agents include a light-weight library of diagnostics/prognostics algorithms/models developed based on the fleet-wide ground vehicle information, maintenance log, and test data, etc. When a vehicle connects to the server, a diagnostic/prognostics model will be generated automatically by the server and downloaded to the vehicle. The diagnostic and prognostic decisions made by each vehicle will be sent back to the server to confirm and update the model library if needed. If necessary, an “updated” diagnostics/prognostics model may be re-generated and the vehicle-side diagnostics/prognostics agents will be updated. In this way, the vehicle-side diagnostics/prognostics agents have the capabilities of self-adaptation and self-learning utilizing the vehicle and fleet level information. The whole framework will be developed under a unified software agent framework.

* information listed above is at the time of submission.

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