A Plug-and-Play Module for Assessing Real-Time Mission Readiness Using Subsystem Health and Interactions

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-07-C-4103
Agency Tracking Number: N051-052-0283
Amount: $1,404,480.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solicitation Year: 2005
Solicitation Topic Code: N05-052
Solicitation Number: 2005.1
Small Business Information
200 Canal View Blvd, Rochester, NY, 14623
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 G. Scott Valentine
 Manager, Maint. & Logisti
 (585) 424-1990
Business Contact
 Mark Redding
Title: President
Phone: (585) 424-1990
Email: mark.redding@impact-tek.com
Research Institution
Impact Technologies LLC proposes to develop and demonstrate a system for mission readiness assessment using component and subsystem health indices in an open systems architecture (OSA). The proposed work will utilize mission requirements, component health states, and available models to develop a plug-and-play software module that can be used to assess system mission readiness in real-time. The development will include algorithms to account for subsystem and system-level interactions and relate independent subsystem health indicators to overall system readiness. Prognostics will also be included to predict future readiness levels for specific missions. This information will ultimately be utilized for decision support of Navy ship systems. Specifically, the core innovations of the proposed project include: 1) the use of gray-scale health to assess mission readiness; 2) fusion of multiple independent health state indicators to determine overall system health; 3) development of a prognostics approach that accounts for the effects of fault propagation between interconnected subsystems by defining propagation paths and adjusting failure rates accordingly; and 4) application of reinforcement learning techniques to provide automated improvement in future health state and system readiness predictions.

* Information listed above is at the time of submission. *

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