Physics-based Diagnostics and Prognostics of Interconnected Aircraft Subsystems

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$736,365.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
N68335-04-C-0019
Award Id:
59766
Agency Tracking Number:
N022-0173
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
Asif Khalak
Senior Research Engineer
(781) 273-3388
asif.khalak@alphatech.com
Business Contact:
John Barry
Contracts Manager
(781) 273-3388
jbarry@alphatech.com
Research Institution:
n/a
Abstract
ALPHATECH proposes a novel approach for prognostics, diagnostics, and health management (PHM) of interconnected aircraft subsystems, using hybrid reduced-order prognostic models and extensions to existing diagnostic FMECA analyses. This technology will beapplied at the area reasoner level of the aircraft, and tailored to the Propulsion System. In close collaboration with our partner, Rolls-Royce North America, we will develop models in this new framework, relevant to real propulsion system components suchas the LiftFan system for the Joint Strike Fighter (JSF). These models will be tested in software, and on a dedicated hardware reliability test rig provided by Rolls-Royce. Our goal in the Phase II of this research project is to demonstrate a workingprototype using this approach, and assess its performance for use as part of development of modern aircraft. The proposed technology would enable a system to anticipate and diagnose failures in a timely fashion thereby minimizing unscheduled maintenanceevents. Our approach is geared towards mechanical systems for which anticipating failures offers a large commercial benefit, as well as technical challenges. The technology could be used by Original Equipment Manufacturers (OEMs) to ensure that thefailure predictions provided are accurate and valid as part of a real time system to monitor mechanical system failures.

* information listed above is at the time of submission.

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