SBIR/STTR Research Award

Damage Propagation Assessment - A Causal Model Approach for Design and Operations

Award identifier 67ac1b036784d124f0a0650914ce3936210eb01301e390b0e21c5028f98e6ddbAwarding agency National Aeronautics and Space Administration

Award amount

$849,420

Program and phase

SBIR · Phase II

Award year

2023

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
QUALTECH SYSTEMS, INC.
Proposal award date
2023-06-08
Contract end date
2025-06-07
UEI
T2RXVVH2H735
Solicitation number
SBIR_22_P2
Topic code
S17

Research abstract

Qualtech Systems, Inc. (QSI) in collaboration with Dr. Stephen B. Johnson of Dependable Systems Technologies (DST) proposesnbsp;a novel, causal graph-based model and a systematic modeling methodology for assessing damage propagation due to one or multiple originating faults and how the propagation affects and damages other components. In fault propagation, downstream components from the root-cause fault which rely on its function, may also fail. When the root cause is mitigated, those downstream components resume their normal operating behavior. During damage propagation, the originating faultrsquo;s damage, leads to the failure effects in which physical damage to downstream components is a consequence, such that those components can no longer function nominally. Even if the originating fault recovers or is replaced or bypassed, the downstream damaged components do not recover and continue to remain in a failed state. nbsp;nbsp; This proposal aims to create a new software module for QSIrsquo;s TEAMSreg; tool suite that incorporates component damage as a failure cause and can identify the differences between components in which failure effects lsquo;pass throughrsquo; or cause only functional impairment versus those that can cause physical damage. This new capability will enable the modeler to represent damage induced component failure modes and their interaction with functional failure modes. Distinction between the two, where the functional failure mode can be caused by damage or bad inputs from impairments upstream, will allow TEAMSreg; to generate a more comprehensive and accuratenbsp;assessment of the health of the components of the system and facilitate appropriate mitigation actions.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

113 SBIR/STTR records share this UEI (1995–2025). Reported award amounts total $44,387,946. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

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

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.