Methodology for the Real-Time Management of Aero Gas Turbine Engine Usage Data

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,535.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-05-M-2573
Award Id:
73071
Agency Tracking Number:
F051-188-0727
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
850 Energy Drive, Idaho Falls, ID, 83401
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
089822014
Principal Investigator:
Sean Marble
President
(208) 522-8650
smarble@sentientscience.com
Business Contact:
Sean Marble
President
(208) 522-8560
smarble@sentientscience.com
Research Institution:
n/a
Abstract
Modern turbine engine lifing approaches compute damage accumulation in real time based on actual usage, substantially increasing the useable life over a-priori cycle or hour limits based on assumed worst-case operating conditions. However, these new algorithms are complex, consume substantial computing resources, and generate enormous amounts of data that must be archived to allow data mining and/or recalculation of damage post-mission. Sentient Corporation will develop intelligent real time data reduction algorithms that preserve the only those features of the usage data that are required for accurate damage accumulation according to the physics of failure. An off-board design time tool will automatically analyze the damage accumulation models to determine the specific data and data rates required by each. This information will be used by on-board logic to optimally sample data in real time. A modular implementation will allow the system to adapt as models are updated. In Phase I, a simplified demonstration system will be assembled in Matlab with at least one model representative of each major damage accumulation mode. The output of this system in response to recorded mission data will be compared to the system without the new data reduction algorithms to quantify the gains made and show that damage accuracy is not adversely affected.

* information listed above is at the time of submission.

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