Meta-Data Mining for Optimized Aircraft Repair and Overhaul

Award Information
Agency:
Department of Defense
Amount:
$99,998.00
Program:
SBIR
Contract:
FA8501-09-P-0099
Solitcitation Year:
2008
Solicitation Number:
2008.3
Branch:
Air Force
Award Year:
2009
Phase:
Phase I
Agency Tracking Number:
F083-243-1511
Solicitation Topic Code:
AF083-243
Small Business Information
Analatom Incorporated
562 E. Weddell Drive, Suite 4, Sunnyvale, CA, 94089
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
064744436
Principal Investigator
 Richard Clements
 Senior Software Engineer
 (408) 734-9392
 richard.clements@analatom.com
Business Contact
 Bernard Laskowski
Title: President
Phone: (408) 734-9392
Email: laskowski@analatom.com
Research Institution
N/A
Abstract
The aim of this project is the development of advanced software modeling tools for data mining, maintenance support, and structural health monitoring prognostics.  The project will develop new modeling, optimization tools and algorithm concepts that provide database search and correlations facilitating intelligent decision making processes for maintenance, repair and overhaul work practices and schedules.  Ultimately, such a support tool will act upon current databases, meta-data and repair practices to arrive at considerable personnel, parts and other resources savings and shorter repair time horizons within the maintenance, repair, and overhaul (MRO) environment.  An aircraft maintenance and repair work scope optimizer, as a decision support tool, will utilize dynamic data and meta-data information and knowledge to provide the repair work force with a daily work package that accommodates contingencies via dynamic re-planning.  Such decision support tool will be orderly, repeatable and be tightly controlled. BENEFIT: Such a tool would have high value for data mining and maintenance scheduling of high value commercial items such as aircraft, bridges, vehicles, ships and buildings.

* information listed above is at the time of submission.

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