Risk Engineering, Sciences, Computation, and Informed Decisions

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$124,979.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
NNX13CJ36P
Award Id:
n/a
Agency Tracking Number:
120113
Solicitation Year:
2012
Solicitation Topic Code:
T13.01
Solicitation Number:
n/a
Small Business Information
CT, East Hartford, CT, 06108-7301
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
808837496
Principal Investigator:
SudiptoGhoshal
Principal Investigator
(860) 761-9341
sudipto@teamqsi.com
Business Contact:
SudiptoGhoshal
Business Official
(860) 761-9341
sudipto@teamqsi.com
Research Institute:
Montana State University
John Sheppard
Department of Computer Science, EPS 363
Bozeman, MT, 59717-59717
() -

Abstract
Wrong decisions during the missions can lead to an unsafe condition or immediate failure, while correct decisions can help continue the missions even from faulty conditions. In view of the lessons learned from mishaps, i.e., failed space missions, it is imminent that reliability analysis and risk assessment are kept in sync with space system design as it evolves from the concept through preliminary design, detailed design, production, and operations. Qualtech Systems, Inc. (QSI) in collaboration with Dr. John Sheppard from Montana State University (MSU) proposes a real-time health and risk assessment solution. The proposed efforts through this project in developing real-time computer-based environment for diagnosis, risk assessment, and visualization of system status will provide: (1) an environment for thorough and collaborative analysis and evaluation of a system design before the system is built and commissioned, (2) real-time diagnosis to identify Good, Bad, Unknown, Suspect, Degraded and Suspected Degraded of subsystems/components, (3) state of redundancies in real-time in case of single/multiple faults, (4) degradation status/criticality/time-to-failure, (5) risk identification of software and loss of mission/vehicle/life, (6) recommendation of a safer state to go to, and (7) visualization of risk (rank-ordered missions, probability of mission success, schedule and cost), mission criticality, and diagnostic coverage. The proposed solution should be of significant relevance to NASA's space missions because it provides capabilities in characterizing as system in its failure space as well as uncovering and managing risks as the system design evolves.

* information listed above is at the time of submission.

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