NASA STTR 2006 Solicitation


PROPOSAL NUMBER: 06-2 T1.01-9893
RESEARCH SUBTOPIC TITLE: Information Technologies for System Health Management, Autonomy, and Scientific Exploration
PROPOSAL TITLE: Engineering Next Generation Launch Systems for Supportability

NAME: Qualtech Systems, Inc. NAME: Vanderbilt University
STREET: 100 Great Meadow Road, Suite 603 STREET: Division of Sponsored Research, 110 21st Avenue South
CITY: Wethersfield CITY: Nashville
STATE/ZIP: CT  06109 - 2355 STATE/ZIP: TN  37203 - 2641
PHONE: (860) 257-8014 PHONE: (615) 322-2641

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Marta Olenick
100 Great Meadow Rd., Suite 603
Wethersfield, CT 06109 - 2355
(860) 257-8014

Expected Technology Readiness Level (TRL) upon completion of contract:

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
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.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed solution offers integrated ground support system for launch operations. The advantage of this technology is that it covers a significant part of life cycle of the ground support system, from the design (supportability analysis and sensor optimization) to the deployment (real-time monitoring). The solution will help NASA diagnostic system designers to evaluate the current system for fault coverage, fault detection and isolation and its impact on ability to launch within the window. It also allows the optimized sensor upgrade options and quantifies their benefits. It releases the burden for launch operators by real-time monitoring multiple parameters across system boundaries with optional guide troubleshooting to detect and isolate failures. This integrated development environment will facilitate the diagnostic system design to meet the challenge of high probability of mission success. Important systems such as spacecraft, space stations, mobile launch platform, launch pad, etc. will benefit from the proposed technology with increased reliability and safety.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The most promising non-NASA application is the ground support system for commercial aircraft and rockets. The proposed integrated ground support system can be applied since commercial aircraft and rockets share many similar components, such as valves, pumps, pipes. Significant potential exists as well with semiconductor manufacturing and industrial automation equipment makers who need effective, real-time health monitoring with rapid fault detection and isolation for ensuring their high-value assets' near 100% uptime.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

Autonomous Control and Monitoring
Autonomous Reasoning/Artificial Intelligence
On-Board Computing and Data Management
Simulation Modeling Environment

Form Generated on 01-28-08 15:27