SBIR-STTR Award

Real-Time Detection, Location, and Isolation of High-Resistance, Wye Power System Ground Faults
Award last edited on: 1/3/23

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$1,039,989
Award Phase
2
Solicitation Topic Code
N211-003
Principal Investigator
Eric Strong

Company Information

AURA Technologies LLC (AKA: AURA~Bennett Advanced Research LLC)

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Chapel Hill, NC 27514
   (919) 615-4305
   N/A
   www.aura.company
Location: Single
Congr. District: 02
County: Wake

Phase I

Contract Number: N68335-21-C-0490
Start Date: 6/10/21    Completed: 12/6/21
Phase I year
2021
Phase I Amount
$240,000
Navy aircraft carriers have a problem detecting ground faults in the high voltage/high-current launch system wiring. This proposal provides a hardware and intelligent software solution for fault detection and isolation based on technology developed in prior DoD funding.

Benefit:
We will develop the hardware and software for a handheld ground fault detection system that fills a critical need for the US Navy. This device would have immediate benefit for detecting wiring faults in many other commercial and military high voltage applications.

Keywords:
pulse power, pulse power, Artificial Intelligence, Ground Fault Detection, high voltage, Machine Learning, Prognostics, power systems, High Current

Phase II

Contract Number: N68335-22-C-0639
Start Date: 8/23/22    Completed: 8/29/24
Phase II year
2022
Phase II Amount
$799,989
Navy aircraft carriers have a problem detecting ground faults in the high voltage/high-current launch system wiring. This proposal provides a hardware and intelligent software solution for fault detection and isolation based on technology developed in prior DoD funding.

Benefit:
We will develop the hardware and software for a handheld ground fault detection system that fills a critical need for the US Navy. This device would have immediate benefit for detecting wiring faults in many other commercial and military high voltage applications.

Keywords:
Machine Learning, High Current, Ground Fault Detection, Prognostics, pulse power, high voltage, power systems, Artificial Intelligence