Self-Evolving Maintenance Knowledge Bases

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,990.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N68335-04-C-0180
Award Id:
69923
Agency Tracking Number:
N041-010-0154
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
100 Great Meadow Rd., Suite 501, Wethersfield, CT, 06109
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
808837496
Principal Investigator:
Amit Mathur
Senior Research Engineer
(860) 257-8014
amit@teamqsi.com
Business Contact:
Kevin Cavanaugh
Chief Operating Officer
(860) 257-8014
kevin@teamqsi.com
Research Institution:
n/a
Abstract
Qualtech Systems, Inc. (QSI) proposes to develop the methodology and specific techniques for learning from data generated by aircraft maintenance support processes to update the knowledge base used by the intelligent diagnostics, prognostics and maintenance decision-making systems . In Phase I, the focus of the research team will be on defining requirements for candidate techniques that can support the maintenance knowledge base evolution process, and on defining a framework for integrating the techniques within an asset readiness management system. At least one technique will be implemented for a Phase I concept demonstration using a sample/example data set. The Phase I effort will also explore the application of the developed techniques for the update of knowledge models used by QSI's own suite of health inference and diagnostic tools. The requirements developed in Phase I will be used in Phase II for the full-scale development of a software component that can be integrated with an asset readiness management system in Phase III.

* information listed above is at the time of submission.

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