Prognostics/Diagnostics for Improved Gas Turbine Engine Reliability and Maintainability

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$745,802.00
Award Year:
2002
Program:
SBIR
Phase:
Phase II
Contract:
F33615-02-C-2231
Award Id:
52441
Agency Tracking Number:
011PR-1664
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
125 Tech Park Drive, Rochester, NY, 14623
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
MichaelRoemer
Director of Engineering
(716) 424-1990
mike.roemer@impact-tek.com
Business Contact:
MarkRedding
President
(716) 424-1990
mark.redding@impact-tek.com
Research Institute:
n/a
Abstract
"Impact Technologies, in cooperation with GE Aircraft Engines, Rolls Royce and UDRI/UES, propose to develop, implement and validate specific diagnostic and prognostic (D&P) technologies designed for real-time, automated health assessment of oil-wettedcomponents in gas turbine engines. Various corroborating D&P technologies from different engineering disciplines, including oil analysis, vibration/thermal analysis and rotordynamic modeling, have been integrated together under a Phase I demonstrationusing automated reasoning and intelligent data fusion algorithms. Based on these successful results, continued development and implementation of this integrated approach will be applied to bearings from various AFRL engine test rigs, as well as OEMsupported tests including a Rolls Royce AE 1107C engine and a GE Y120 counter rotating bearing application (both GE and RR have provided in-kind contributions to support these tests). Through intelligent fusion of the health monitoring data andmodel-based techniques demonstrated in Phase I, a comprehensive component prognostic capability will be achieved, using model-based estimates when no diagnostic indicators are present and monitored features such as oil debris and vibration at later stageswhen failure indications are detectable. Only through the utilization of these multiple sources of engineering information can up-to-date assessments and predictions of component remaining useful life be d

* information listed above is at the time of submission.

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