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Engineering Next Generation Launch Systems for Supportability

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX08CA40C
Agency Tracking Number: 060437
Amount: $599,851.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T1.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-04-22
Award End Date (Contract End Date): 2010-04-21
Small Business Information
100 Great Meadow Road, Suite 603
Wethersfield, CT 06109-2355
United States
DUNS: 808837496
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Marta Olenick
 Principal Investigator
 (860) 257-8014
 marta@teamqsi.com
Business Contact
 Somnath Deb
Title: President
Phone: (860) 257-8014
Email: deb@teamqsi.com
Research Institution
 Vanderbilt University
 Not Available
 
Division of Sponsored Research, 110 21st Avenue South
Nashville, TN 37203
United States

 (615) 322-2641
 Domestic Nonprofit Research Organization
Abstract

In order to meet the challenges of high probability of mission success for space exploration, ground support system for various launch operations that responds rapidly to system events and anomalies is essential. In addition, the vast amount monitored parameters (around 50,000) for ground support system requires systematically supportablity analysis and trade-off studies for sensor optimization. Qualtech Systems, Inc. (QSI), in cooperation with Vanderbilt University, proposes to develop an integrated ground support system for addressing the ground support health management problem. The proposed solution provides supportability analysis for LOX system and real-time monitoring for select target system (e.g. hydraulic system). The supportability analysis uses QSI's TEAMS modeling of a candidate Liquid Oxygen (LOX) system which covers ground fueling facilities, mobile launcher and launch pad. An efficient sensor optimization schemes is developed to evaluate current available sensors and proposed upgrade sensor groups. Real-time monitoring collect sensor data from candidate system to the integrated test layer (wherein advanced tests are designed) and passed to the real-time diagnostic reasoner.

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

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