An Advanced Modeling, Monitoring, and Predicting System for the Joint Strike Fighter

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,958.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N68335-05-C-0100
Agency Tracking Number:
N043-258-0901
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
BARRON ASSOC., INC.
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
120839477
Principal Investigator:
Jason Burkholder
Senior Research Scientist
(434) 973-1215
burkholder@barron-associates.com
Business Contact:
David Ward
President
(434) 973-1215
barron@barron-associates.com
Research Institution:
n/a
Abstract
Prognostics and Health Management (PHM) for the Joint Strike Fighter (JSF) is envisioned as a comprehensive system for detecting and isolating failures, recommending condition-based maintenance (CBM), and estimating the remaining useful life (RUL) of critical components. Barron Associates, Inc. (BAI) has teamed with Lockheed Martin Aeronautics Company (LM Aero) to propose an SBIR program that leverages a decade of jointly developing fault-tolerant controls and identification technologies. This SBIR program will result in a comprehensive fault and failure anomaly detection and isolation system that brings together flight-tested algorithms developed by BAI for online, real-time parameter identification and generic algorithms developed by BAI for fault detection and isolation (FDI) in any complex dynamical system. BAI presents three crucial technologies that will form a solid foundation for the development of advanced modeling, monitoring, and predicting technology for the JSF: (1) a robust algorithm for identification of model parameters; (2) innovative, model-based FDI algorithms employing statistical change detection techniques; and (3) prognostic algorithms that predict the remaining useful life (RUL) for system components. In Phase I, BAI will evaluate the performance of these algorithms operating in a realistic JSF simulation provided by LM Aero.

* information listed above is at the time of submission.

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