SBIR/STTR Research Award

A Predictive Maintenance Solution for Aircraft Health Monitoring that can Learn and Improve Over Time

Award identifier db6cb82bf15c1d163b3f5c5a9a2efb4c85808ee7ecbcb45b4252dbe067d85db0Awarding agency Department of Defense · Air Force

Award amount

$71,661

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
PREDICTRONICS CORP
Proposal award date
2023-12-13
Contract end date
2024-03-13
UEI
MEB7MTZDX629
Solicitation number
X23.7
Topic code
AFX237-PCSO1

Research abstract

The Department of the Air Force (DAF) is in the process of incorporating predictive maintenance capabilities and technology to improve their mission readiness and fleet availability. Although there are existing solutions deployed at DAF and for commercial aircraft, these solutions typically have a higher rate of false alarms than desired and have a reduction in model accuracy over time since the solution does not continue to learn and update with more data over time. The proposed solution is an automated and sensor (residual) based predictive maintenance solution that updates and learns over time to provide more robust health monitoring, alerts, and diagnosis capabilities to support the DAF objectives for achieving improved mission readiness and fleet availability.

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

6 SBIR/STTR records share this UEI (2014–2026). Reported award amounts total $2,051,960. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

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