Cognitive Technology for Advanced Maintenance

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,999.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
M67854-07-C-6500
Award Id:
82377
Agency Tracking Number:
N062-108-0679
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
100 Great Meadow Rd., Suite 603, Wethersfield, CT, 06109
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
808837496
Principal Investigator:
Sudipto Ghoshal
Manager, Professional Ser
(860) 257-8014
sudipto@teamqsi.com
Business Contact:
Chuck Vallurupalli
President and COO
(860) 257-8014
chuckv@teamqsi.com
Research Institute:
n/a
Abstract
This proposal is a joint effort between Qualtech Systems, Inc. (Wethersfield, CT), BBN Technologies (Boston, MA) and Aptima, Inc. (Woburn, MA). Our intelligent and adaptive maintenance-aid software solution will provide novel capabilities to streamline the maintenance task for technicians of all levels of experience. We propose to significantly enhance and integrate a knowledge-based maintenance and diagnostic reasoning engine, with an agent based software architecture that supports cognitive reasoning, and a user interface with novel human factors support. The integrated system will provide a support tool that streamlines the maintenance task by guiding the user through the optimal test sequence, while providing context specific user interface options to the technician throughout the process. The system will adapt to constraints imposed by the environment, the skill level and preferences of the maintenance technician, and specifics of the maintenance problem at hand. The software will learn from interaction with the technician, allowing the knowledge base for the problem space to grow over time, and the efficiency of the maintenance process to increase with subsequent tasks. The emergent behavior of the maintenance software will make the tool appear as a domain and maintenance expert as it guides the technician through the maintenance process.

* information listed above is at the time of submission.

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