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A Testbed for Probabilistic Mission Engine Usage Analysis, Phase 2

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-03-C-0115
Agency Tracking Number: N012-0360
Amount: $0.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2003
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
13029 Danielson Street, Suite 200
Poway, CA 92064
United States
DUNS: 097858836
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Akhilesh Maewal
 (858) 679-4140
Business Contact
 Laura Goodrich
Title: Vice President, Contracts
Phone: (858) 679-4140
Research Institution

Engine component fatigue life prediction is based upon material conditions such as temperature, stress and exposure time, all of which are induced by system and flight cycle usage. With increasing demands on weapon systems to perform a greater variety ofmissions like those envisioned for JSF and UAVs/UCAVs, asset usage and mission tracking are becoming crucial for life assessment. Concurrent pressure for system reliability and readiness further accentuates this requirement, not only from a deterministic,but a probabilistic basis as dictated for overall fleet management. The capability to reduce raw fleet duty cycle data into information usable to both designers and maintenance planners is essential. In Phase I, IAC has developed a system for efficientretrieval, analysis, and graphical visualization of data recorded during the aircraft missions. The system is built on the Matlab platform that provides a unique extendible and open architecture for analysis of mission data. In Phase II the software formission data analysis will be further developed to provide a comprehensive extendible framework useful not only for F18 aircrafts but also for other fixed wings as well as other aircrafts of interest to the Navy. This project has a variety of benefits. Itwill provide not only a unified framework for the analysis of vast amount of data that is currently collected during flight of military aircrafts, but also provide a means for more accurate estimation of remaining useful life of engine components andsubsystems on the basis of real mission data. This will result in reduced maintenance costs and down time of aircraft. IAC is under contract with the US Army and Air Force to develop condition based monitoring technologies for turbine engines and aircraftand our proposed technology can be directly applied to this work

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

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