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

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$1,404,480.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
N00024-07-C-4103
Agency Tracking Number:
N051-052-0283
Solicitation Year:
2005
Solicitation Topic Code:
N05-052
Solicitation Number:
2005.1
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:
G. Scott Valentine
Manager, Maint. & Logisti
(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 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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