Fiscal Year:
2004
Title:
Self-Evolving Maintenance Knowledge Bases
Agency / Branch:
DOD / NAVY
Contract:
N68335-04-C-0180
Award Amount:
$69,990.00
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.
Principal Investigator:
Amit Mathur
Senior Research Engineer
8602578014
amit@teamqsi.com
Business Contact:
Kevin F. Cavanaugh
Chief Operating Officer
8602578014
kevin@teamqsi.com
Small Business Information at Submission:
QUALTECH SYSTEMS, INC.
100 Great Meadow Rd., Suite 501 Wethersfield, CT 06109
EIN/Tax ID:
061370324
DUNS:
N/A
Number of Employees:
Woman-Owned:
No
Minority-Owned:
No
HUBZone-Owned:
No