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A Novel Prognostics Library for Electromechanical Systems

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: N0017403C0049
Agency Tracking Number: 03-0031T
Amount: $70,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
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
7519 Standish Place, Suite 200
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Chiman Kwan
 Director of R&D
 (301) 294-5238
 ckwan@i-a-i.com
Business Contact
 Marc Toplin
Title: Director of Contracts
Phone: (301) 294-5215
Email: mtoplin@i-a-i.com
Research Institution
 GEORGIA INSITTUTE OF TECHNOLOGY
 Steven Y Liang
 
The George W. Woodruff School, of Mechacnical Engineering
Atlanta, GA 30332
United States

 (404) 894-8164
 Nonprofit College or University
Abstract

Fault diagnosis and prognosis is very important in health monitoring or condition based maintenance. If one can measure the degradation of a component before it actually fails, then it will provide ample time for maintenance engineers to schedule a repair,and to acquire replacement components before the components actually fail.IAI and its STTR partner, Georgia Institute of Technilogy, propose a library of prognostics tools that contain several innovative ideas. First, a Principal Component Analysis (PCA) based prognostics tool is proposed. The PCA based tool was applied toassess the health status of a gearbox at Penn State University. We were able to detect a gearbox failure five hours before the tooth broke. Second, a Hidden Markov Model (HMM) based approach is proposed to predict the degraded state of the system. The HMMbased tool was applied to a rotating shaft system in IAI's laboratory. Third, an adaptive prognostics tool is proposed to predict the remaining life of a system. The adaptive prognostics tool was demonstrated by using a bearing testbed at Georgia Tech.Again accurate remaining life was correctly predicted. The new library is highly relevant to this topic since we plan to apply the techniques to the Airborne Laser (ABL) system. The technology can be used in any military and commercial applications, where electromechanical systems are used. The proposed system may also be extended to many other applications, such as bearings, pumps, gearboxes, motors, etc. The Joint StrikeFighter (JSF) program is our first target Phase 3 application. In addition, IAI has developed health monitoring systems and/or components for Boeing, Ford, and Motorola. Recently, IAI has completed a contract with Boeing to develop health monitoring andprognostics technology for the Future Combat System (FCS) of the Army. The research results of this project will lay down a solid foundation for future commercialization effort with these and other companies.

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

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