Prediction of Rotor Loads from Fixed-component Sensor Data and Flight Parameters
Award amount
$125,000Program and phase
STTR · Phase IAward year
2017Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- Intelligent Automation, Inc.
- Proposal award date
- 2017-05-19
- Contract end date
- 2018-01-02
- UEI
- C3QJD7VXG167
- Solicitation number
- 2017.0
- Topic code
- N17A-T009
Research abstract
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.
- Fast Accurate Safe Technology for Jack to Jig (FastJack)
- VMS: Deep Reinforcement Learning for High-fidelity Vehicle Motion Simulation
- VAST-CQA: Video Annotation and Statistics Toolkit for Crowdsourcing Quality Assessment
- SALUTEM: System for Activity Classification and Occupational Exposure Monitoring
- A Multiphysics Analysis Tool for Autoclave Processing of Composite Parts (MATAPro)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation
- An Innovative Derivation Methodology to Accurately Predict Rotor Head Loads Generated over Various Rotorcraft Flight Regimes
- Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation
- Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation
Research funding history
1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security