Methodologies for Integration of Prognostic Health Management Systems with Maintenance Data

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,724.00
Award Year:
2007
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-07-C-5217
Agency Tracking Number:
F061-099-0455
Solicitation Year:
2006
Solicitation Topic Code:
AF06-099
Solicitation Number:
2006.1
Small Business Information
IMPACT TECHNOLOGIES, LLC
200 Canal View Blvd, Rochester, NY, 14623
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
Scott Valentine
Mgr., Maintenance & Logis
(585) 424-1990
scott.valentine@impact-tek.com
Business Contact:
Mark Redding
President
(585) 424-1990
mark.redding@impact-tek.com
Research Institution:
n/a
Abstract
Impact Technologies propose to further develop and demonstrate an innovative software product that integrates maintenance and PHM system data to provide improved fault diagnostics and prediction of the remaining useful life of critical components. The proposed methodologies will enable the maintenance and logistics infrastructure to fully benefit from newly developed PHM systems and conversely for the PHM system to update itself based on feedback obtained from the maintenance systems. The integration process includes two modes of interaction: 1.) Health information driving the maintenance actions with available resource information, and 2.) Feedback from the maintenance systems providing valuable verification information implemented through a learning mechanism to the PHM system. This integration will utilize multi-agent software technology that is appropriate for open, highly dynamic, uncertain and complex systems including distributed databases such as the Engine Health Management Data Repository Center (EHM+DRC) or Reliability and Maintainability Information System (REMIS). Additionally, Impact Technologies and General Dynamics Information Technology will coordinate efforts to pull resident data in the GCSS-AF for integration with in the software application. The Phase I program successfully demonstrated the feasibility of the developed algorithms using simulation data. Phase II will focus on further development and harnessing of the Phase I technologies for use in specific Air Force applications.

* information listed above is at the time of submission.

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