SBIR-STTR Award

Aviation Predictive Maintenance Solution
Award last edited on: 11/6/2023

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$1,246,112
Award Phase
2
Solicitation Topic Code
AF221-DCSO1
Principal Investigator
Brittney Brown

Company Information

Forge Group LLC

12211 Lake James Drive
Herndon, VA 20171
   (703) 296-7038
   N/A
   www.forgegroupllc.com
Location: Single
Congr. District: 10
County: Fairfax

Phase I

Contract Number: FA8649-22-P-0902
Start Date: 5/2/2022    Completed: 2/2/2024
Phase I year
2022
Phase I Amount
$1
Direct to Phase II

Phase II

Contract Number: FA8649-22-P-0902
Start Date: 5/2/2022    Completed: 2/2/2024
Phase II year
2022
Phase II Amount
$1,246,111
Forge’s Predictive Modeling applies machine learning to historical data to make predictions about future outcomes, such as machine failures, quality degradation, or when service will be required. Predictive Scoring anticipates future outcomes and o?ers the ability to make relevant outcome-based predictions based on data within ThingWorx. Con?dence Models provide a range of uncertainty for a given prediction to better facilitate automated processes and enhance human decision-making. Forge’ solution will not only provide a state-of-the-art predictive maintenance capability, but it will also integrate with the wider sustainment engineering ecosystem that creates a true “decision support system” that enables modeling and simulation of scenarios to plan for a combat readiness within varying budgetary conditions, as well as other “what if?” scenarios, such as surges in op-tempo, causal factors, changes in parameters etc. This solution will enable the DAF to make strategic decisions on the F-22 in a way that maximizes the operational readiness. By adding Augmented Reality maintenance processes to complex maintenance tasks, the ability to follow an AR checklist when looking at a machine, along with the use of voice interaction to register inspection results, makes inspection and diagnosis faster. During the repair process, technicians see precisely what they need when they need it – without having to take their hands off the machine and reach for a manual. This has positive implications for health and safety because it keeps the technician’s focus on the equipment. The AR software can walk them through the correct sequence of maintenance steps, ensuring that they interact with the equipment safely. It is especially useful when dealing with heavy equipment, which could be dangerous when mishandled. AR headsets could also identify any potential health hazards linked to the equipment as the technician performs the work.