NASA SBIR 2018-I Solicitation

Proposal Summary


PROPOSAL NUMBER:
 18-1- S5.05-6243
SUBTOPIC TITLE:
 Fault Management Technologies
PROPOSAL TITLE:
 Integrated Model-Based Fault-management System Design
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
ASCA, Inc.
1720 S Catalina Avenue, Suite 220
Redondo Beach , CA 90277-5504
(310) 316-6249

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Michael Yau
mike.yau@ascainc.com
1720 S Catalina Ave, Suite 220 Redondo Beach, CA 90277 - 5504
(310) 316-6249

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Sergio Guarro
sergio.guarro@ascainc.com
1720 S Catalina Ave, Suite 220 Redondo Beach, CA 90277 - 5504
(310) 569-9673
Estimated Technology Readiness Level (TRL) :
Begin: 2
End: 4
Technical Abstract

An Integrated Model-based Fault-management System Design (IMFSD) environment for current-generation and future high-autonomy space systems is developed, which integrates and documents in one platform framework Fault Management (FM) design processes, models and products. The IMFSD covers FM requirements definition, and design specification, analysis, validation-and-verification (V&V), and documentation, enabling the connection of the associated processes and models to the corresponding elements of the host space system model-based design.

The integration of FM development life-cycle processes is achieved by means of a “design development, documentation, and assurance case” (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 concept-of-operations (ConOps) and 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 (FTA) and Failure Modes and Effects Analysis (FMEA), includes, or links to, logic-dynamic models – e.g., Dynamic Flowgraph Methodology (DFM) and Markov Cell-to-Cell Mapping Technique (Markov-CCMT) – 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 (BBN), Neural Networks (NN), Fuzzy Logic (FL, and Influence Diagrams (ID), are also evaluated 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 transportation fields. This provides a path for commercialization efforts that will be initiated during execution of the Phase I development project.

Potential NASA Applications

The IMFSD is applicable to Fault Management (FM) design for NASA satellites, planetary spacecraft, and space vehicles, also including probes, rovers, space-travel and human-habitat systems. It is also applicable to aeronautical systems, manned and unmanned, which are also the focus of NASA research and mission activities. The convergence of FM and System Health Management (SHM) functions in high autonomy systems makes the IMFSD highly applicable to the FM design of these systems..

Potential Non-NASA Applications

The IMFSD is applicable to all space, aeronautical, and transportation systems of substantial complexity in their Fault Management requirements and design. This includes: Department of Defense and commercial satellites and space vehicle; Department of Defense and commercial aircraft and Unmanned Aerial Systems (UAS); driver-less automotive vehicles; semi-autonomous or autonomous marine vessels and probes.


Form Generated on 05/25/2018 11:49:36