SBIR/STTR Research Award

Integrated Model-Based Fault-management System Design (IMFSD)

Award identifier f711d6322712d3c4bc524e2e5e55382065e859b52d64155aa0cce0bed8aab597Awarding agency National Aeronautics and Space Administration

Award amount

$754,437

Program and phase

SBIR · Phase II

Award year

2019

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
ASCA, INC.
Proposal award date
2019-08-13
Contract end date
2021-08-12
UEI
LP4JTPZRJ8L5
Solicitation number
SBIR_18_P2
Topic code
S5

Research abstract

ASCA is developing an Integrated Model-based Fault-management System Design (IMFSD) workstation for current-generation and future high-autonomy space systems. The resulting product will integrate and document in one framework Fault Management (FM) design processes, models and products. The IMFSD covers FM requirements definition, design specification, analysis, validation-and-verification (Vamp;V), and documentation. This provides the connection of the associated processes and models to the corresponding elements of the host space system model-based design.nbsp;The integration of FM developmentnbsp;life-cycle processes is achieved by means of a ldquo;design development, documentation, and assurance caserdquo; (D3AC) logic structure hosted within the IMFSD software platform, which provides active connectivity among all elements of the FM design, and with the evidences produced to demonstrate compliance with FM design and operations goals, and with the derived requirements.In view of expected spacecraft-autonomy evolutions for which expanded FM operational capability and analytics will be needed, the IMFSD, in addition to established FM models like Fault Tree Analysis and Failure Modes and Effects Analysis, includes, or links to, logic-dynamic models and AI decision / action selection models ndash; e.g., Dynamic Flowgraph Methodology, Markov Cell-to-Cell Mapping Technique ndash; that can extend FM analysis into the time-dependent-logic domain. Other potentially applicable state-of-the-art models from the field of machine-learning, like Bayesian Belief Networks, Neural Networks, Fuzzy Logic, and Influence Diagrams, are also evaluated and demonstrated for evolutionary inclusion in the IMFSD.Once demonstrated for NASA applications, the IMFSD will be transferable to the design of FM for the high-autonomy commercial systems that are presently being developed in the aeronautical and road transportation fields. This provides a path for commercialization efforts that will be initiated during Phase II.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

7 SBIR/STTR records share this UEI (1993–2019). Reported award amounts total $1,323,095. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Nuclear Regulatory Commission, National Aeronautics and Space Administration, Department of Defense, Department of Transportation

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.