Model-based CAHM Software for Dynamic Self-Test of Propulsion Control System Actuators

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,655.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N68335-05-C-0410
Agency Tracking Number:
N052-094-0006
Solicitation Year:
2005
Solicitation Topic Code:
N05-094
Solicitation Number:
2005.2
Small Business Information
IMPACT TECHNOLOGIES, LLC
200 Canal View Boulevard, Rochester, NY, 14623
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
Carl Byington, P.E.
Director, R&D
(814) 861-6273
carl.byington@impact-tek.com
Business Contact:
Mark Redding
President
(585) 424-1990
mark.redding@impact-tek.com
Research Institution:
n/a
Abstract
Impact Technologies, in collaboration with our F-35 partners, proposes to develop an embedded health monitoring software package for prognostics and health management (PHM) of propulsion control system actuators using a model-based approach. This approach will feature a detailed dynamic model of the actuator and it's components to detect impending actuation system degradation and faults. The model will be coupled with failure mode diagnostics, advanced knowledge fusion, and failure mode progression (prognostic) algorithms in a probabilistic framework. These proven approaches, along with novel tracking methods, will be developed using available JSF actuator failure mode information and test stand data. In addition, data driven or analytical techniques will also be considered to complement the model-based approach. Model order reduction will be addressed to facilitate on-board implementation and design trade-offs will be evaluated with respect to technical accuracy, required processing, and effects on life-cycle costs. Phase II will strive to the validate the developed software package on available propulsion control actuator data and demonstrate the developed embedded technologies on a JSF test platform through existing contacts. The resulting software will allow dynamic self-test of the actuators to detect incipient degradation in dynamic response of the components.

* information listed above is at the time of submission.

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