SBIR/STTR Research Award

A Generic Prognostic Toolkit for Characterizing Failure Progression Rates

Award identifier c15a226e3ca82f3ffa524577c7139cbcaa77c31e8ec0425257854067ebb80e9fAwarding agency Department of Defense · Navy

Award amount

$99,657

Program and phase

SBIR · Phase I

Award year

2002

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
Department of Defense
Branch
Navy
Recipient company
Impact Technologies
Proposal award date
Not reported
Contract end date
Not reported
UEI
T1JNUWJLN5M1
Solicitation number
Not reported
Topic code
Not reported

Research abstract

"Impact Technologies proposes to develop and demonstrate a generic software modeling tool that integrates advanced stochastic failure mode modeling, measured failure progression rate features and inspection data, and available experience bases, to enablethe predictive part of Prognostics and Health Management for critical aircraft components. The state-of-the-art structural/material level modeling technology aspect of this tool will include the utilization of a stochastic, physics-of-failure model,system level information fusion, and adaptive model updating techniques for "tuning" key failure mode variables at a local material/damage-site. The failure rate prediction strategies will be implemented within a probabilistic framework to directlyidentify confidence bounds associated with specific component failure mode progression. The proposed modeling scheme will minimize inherent modeling and operational uncertainties by updating local (damage site) material/fatigue properties, componentloading/forcing and failure mode contribution/interaction via sensed system measurements that evolve as damage progresses. By providing continuous updates/adjustments to the critical parameters used by the probabilistic fatigue/damage models based onobserving system level measurements, more accurate failure rate predictions can be made throughout the life of the component. Finally, this software tool will further aid PHM by acting as a prognostics t

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

232 SBIR/STTR records share this UEI (1999–2014). Reported award amounts total $76,299,884. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Defense

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.