SBIR-STTR Award

IFICS Data Processing for Ground-based Midcourse Defense (GMD)
Award last edited on: 10/15/2025

Sponsored Program
SBIR
Awarding Agency
DOD : MDA
Total Award Amount
$1,786,060
Award Phase
2
Solicitation Topic Code
MDA04-088
Principal Investigator
William H Licata

Company Information

System Technology Associates Inc (AKA: STAI)

120 Holmes Avenue NE Suite 401
Huntsville, AL 35801
   (256) 656-8613
   N/A
   N/A
Location: Single
Congr. District: 05
County: Madison

Phase I

Contract Number: W9113M-05-C-0081
Start Date: 2/15/2005    Completed: 8/14/2005
Phase I year
2005
Phase I Amount
$89,625
The project Work Plan will incorporate software and sensor technology developments in the general technology areas of Sensors, Decision Science and Computer Science in a Predictive Maintenance architecture. Since a significant amount of this work is commercial, the project will seek out the best the commercial world has to offer within the limitations of integrating it into the military environment. A balance work plan will be pursued that balances algorithms assessment, simulation, sensor assessment, architectural design and systems integration. The work plan restricts the technical effort to algorithms that are sufficiently mature so that a software model can be obtained and integrated into a system simulation. The algorithm trades and design tasks will be complimented by the other system engineering tasks required to translate technology and product capability into military capability

Phase II

Contract Number: HQ0006-06-C-7344
Start Date: 4/19/2006    Completed: 4/19/2010
Phase II year
2006
Phase II Amount
$1,696,435
The contractor proposes to design, build and test a Predictive Maintenance Unit (PMU). The PMU is modular maintenance product that detects hardware failures before they happen and cause a mission failure or loss of hardware availability. PMU applies to the maintenance function the same signal processing technology used by advanced ground based sensors and missile seekers for the purpose of detecting subtle changes in hardware or software operation that are an indication of future failures. However, PMU does not require real time operation and can employ bulk processing and non-causal processing to allow the use of low end computers and high level programming tools to make it easier to adapt and reconfigure the PMU to fit different needs. PMU is a mix of COTS hardware and software and product specific software. Multiple environment and electronic measurement sensors are added to tailor the PMU to the system being monitored in a parallel architecture. It monitors without interfering with normal system operation or existing maintenance.

Keywords:
Predictive Maintenance; Logistics