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Advanced Structural Health Monitoring System for Comprehensive Real-Time Vehicle Characterization

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CF51P
Agency Tracking Number: 090138
Amount: $99,977.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T1
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2010
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
888 Easy Street
Simi Valley, CA 93065
United States
DUNS: 611466855
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tasso Politopoulos
 Principal Investigator
 () -
Business Contact
 Emily Melgarejo
Title: Business Official
Phone: (805) 582-0582
Research Institution
 The University of Kansas Center for Research, Inc.
2385 Irving Hill Road
Lawrence, KS 66045
United States

 (785) 864-3441
 Nonprofit College or University

In providing an innovative solution to improving information technologies and health management systems, AGNC is proposing a significant technological achievement with the Advanced Structural Health Monitoring System for Comprehensive Real-Time Vehicle Characterization. During in-flight conditions, this system is able to not only provide the status of information such as regarding the flight envelope, but also make accurate diagnostic and prognostic statements of aircraft subsystems. Real-time capabilities are enabled using intelligent algorithms and advanced techniques to provide both time and frequency localization of data. As such, the health management system is able to provide information quickly enough as to monitor an aircraft subsystem in a highly dynamic environment and to make statements regarding anomalies as well as future problems. A key enabling technology is newly developed low-power sensors that offer significant advantages over traditional sensor methods. In addition, automated reasoning technologies to improve sustainability, increase identification of system degradation, and enhance scientific understanding include data fusion, and advanced decision-making, among others. With this system, a comprehensive image of the system/subsystems, and in particular, the structural components, is provided in real-time.

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

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