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Advanced Prognostic and Health Management (PHM) and Model Based Prognostic Useful Life Remaining Capabilities for Aircraft Tactical Information and Co

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-08-C-0336
Agency Tracking Number: N071-010-0402
Amount: $900,186.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N07-010
Solicitation Number: 2007.1
Timeline
Solicitation Year: 2007
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-09-29
Award End Date (Contract End Date): 2011-08-15
Small Business Information
12801 Worldgate Drive Suite 500
Herndon, VA 20170
United States
DUNS: 608472374
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Luis Hernadez
 Director of Research & De
 (703) 871-3990
 luis@gssllc.net
Business Contact
 Larry Bach
Title: Director of Operations
Phone: (703) 871-3924
Email: larry@gssllc.net
Research Institution
N/A
Abstract

Prognostics and health management technologies are critical for detecting impending equipment failures and enabling a proactive decision process for maintaining or replacing components before actual failures occur. This capability is particularly critical to the Joint Strike Fighter given the goals for high affordability and mission readiness. Achieving the gains in maintenance decision making, safety, system availability, productivity, and cost savings, depends on the PHM system’s ability to predict accurately the remaining useful life of the aircraft mission systems at any time. This Phase II effort will develop prototype advanced prognostic models to enable the predictive capability of the JSF CNI avionics system. The effort considers the application of real-time, empirical condition monitoring technology and residual life based models for estimating and predicting the remaining useful life of the JSF Communication, Navigation and Identification systems. The effort will characterize the detectable impeding faults, and the physical phenomena, of the system and component degradation processes. This includes developing prototype models to account for the expected patterns in the sensory information and the techniques required for state detection, diagnosis and managing evolution of the degradation process, in order to predict the remaining useful life of a system. A system definition, implementation/transition plan and system demonstration of the prototype models and application are part of this effort.

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

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