SBIR/STTR Research Award

Robust Simulator for Fault Management in Systems-of-systems of Multiple Nodes

Award identifier f820d95a7fecff95f6f8d061c68fa5382459fdf7d8a1d4794163e67d151978c6Awarding agency National Aeronautics and Space Administration

Award amount

$124,935

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
RIDGETOP GROUP INC
Proposal award date
2021-05-12
Contract end date
2021-11-19
UEI
CRLUWHJZHLU8
Solicitation number
SBIR_21_P1
Topic code
S5

Research abstract

Ridgetop Group shall investigate and prove the feasibility of designing, developing, and proving a Robust Simulator for Fault Management (FM) in Systems-of-Systems having Multiple Nodes; (1) each system representing one or more line-replaceable units (LRU); (2) each LRU comprising one or more data nodes; (3) each data node producing a characteristic waveform related to a classified fault based on physics-of-failure (PoF); (4) signature data extracted with or without digital signal processing such as data fusion, domain transforms, and progress from a state of 100% health to a state representing 0% health or functional failure as defined by no longer operating within specifications; (5) onset of degradation at each node beginning at any time by specification; (6) period of time from onset of degradation to functional failure by specification or random selection; (7) each failure level having a specifiable level of effect on system criticality and specifiable levels of alerts and actionable specifications; and (8) each node being processed to produce prognostic information such as estimates of remaining useful life, prognostic horizon, and state-of-health.The proposed simulation tool shall incorporate advanced techniques and methods in the specification, generation, and processing of faults from onset of degradation to functional failure, estimating prognostic information, distribution of failures, and effect on mission criticality. Examples of those techniques and methods include the following: (1) artificial intelligence, case-based reasoning, knowledge-based models, and machine learning; (2) models based on PoF analyses; (3) use of well-known distributions such as Gaussian, Poisson, and Weibull to select when faults begin and end; (4) time-of-event setting by specification and/or random selection;nbsp; (5) selection and level-setting for alerts; (6) alert actions; and (7) extendible and flexible architecture in the design and implementation of the simulator.

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

80 SBIR/STTR records share this UEI (2001–2025). Reported award amounts total $27,524,868. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

National Aeronautics and Space Administration

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