NASA SBIR 2019-I Solicitation

Proposal Summary


PROPOSAL NUMBER:
 19-1- S5.05-2499
SUBTOPIC TITLE:
 Fault Management Technologies
PROPOSAL TITLE:
 Model Based Data Integration and Fault Management (FM) Architecture Design Trade Studies
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Qualtech Systems, Inc.
100 Corporate Place, Suite 220
Rocky Hill, CT 06067- 1803
(860) 257-8014

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Deepak Haste
E-mail:
deepak@teamqsi.com
Address:
100 Corporate Place Suite 220 Rocky Hill, CT 06067 - 1803
Phone:
(860) 761-9351

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Sudipto Ghoshal
E-mail:
sudipto@teamqsi.com
Address:
100 Corporate Place Suite 220 Rocky Hill, CT 06067 - 1803
Phone:
(860) 761-9341
Estimated Technology Readiness Level (TRL) :
Begin: 2
End: 4
Technical Abstract (Limit 2000 characters, approximately 200 words)

NASA uses a variety of tools to conduct its FM activities. However, these tools are varied and disjoint, and require manual intervention to transfer data from the output of one tool to the input of another. This process is tedious, error-prone and scales poorly for large, complex systems. In addition, these tools are often “silo’ed” to the singular functionality for which they were designed. This prevents FM engineers from gaining insight into the overall system level design and characteristics that are the key to transparency, verifiability and efficiency of implementing and testing FM. FM support tools need to have powerful fault modeling and analytic capabilities to capture their operational procedures and mission complexity.
Qualtech Systems, Inc. (QSI), in collaboration with Dr. Stephen B. Johnson, President of Dependable System Technologies, LLC (DST), plans to develop techniques and the concomitant software tools to “integrate multi-domain data” and “perform FM architecture trades” by leveraging QSI’s TEAMS® (Testability Engineering and Maintenance System) toolset. The solution will provide the capability to cost-effectively create a model, and utilize that model to perform FM architecture studies, both visually/qualitatively, and quantitatively. This ability coupled with the option of using the same model for Operations, will greatly benefit science missions. The main focus of this effort will be to (1) capture diverse and disjoint data products and multi-domain modeling information into TEAMS® for standardizing FM Techniques and Processes and improve the productivity of model (knowledge) creation and FM design process, (2) conduct Architecture Trade Studies focusing on FM (including sensor allocation) effectiveness, (3) introduce ancillary capabilities in TEAMS® to support the main tasks such as Common Cause Failures (CCFs), Probability of Failure on Demand Failure (PFD), and, .(4) develop an FMEA (Failure Mode and Effect Analysis) exchange tool.

Potential NASA Applications (Limit 1500 characters, approximately 150 words)

The proposed technology will allow NASA to better plan and execute future Science Missions. It can also operate as part of NASA’s next generation Mission Control Technology, allowing NASA to utilize the FM and mission satisfiability information for improved mission execution while improving safety and mission success probability. Europa is strong candidate for demonstrating the multi-domain knowledge import including SysML. NASA’s proposed Gateway spacecraft has some simulation and vehicle models which can be used as FM information sources.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)

DoD, USAF, US Navy, Commercial Aviation (SpaceX), NORAD, Space Command ground segments, JSF fleet, Navy platforms, Submarine Commands and BMD systems, UAVs, UMGs and unmanned submersible vehicle markets, manufacturers of DoD and Military’s remotely guided weapons and reconnaissance systems, OEM customers of semiconductor manufacturing and medical diagnostic equipment, are potential applications.

Duration: 6

Form Generated on 06/16/2019 23:10:53