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Automated Reasoner Technology for Managing Military Aircraft

Award Information

Department of Defense
Award ID:
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Sentient Corporation
850 Energy Drive Suite 307 Idaho Falls, ID 83401-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2006
Title: Automated Reasoner Technology for Managing Military Aircraft
Agency / Branch: DOD / NAVY
Contract: N68335-06-C-0289
Award Amount: $78,911.00


The F-35 prognostic health management (PHM) system will generate a large volume of data on current and predicted component health. Tools are needed to automatically assimilate and analyze this data, and present findings and recommended actions to the user. These automated reasoner tools are necessary to ensure that PHM data is utilized for maximum benefit, to allow maintainers to focus on maintenance rather than data interpretation, and to present capability and readiness information to commanders and decision makers. Sentient Corporation, in cooperation with JSF OEM partners, will develop automated reasoner algorithms and software tools that fuse PHM data into current and predicted capability information, preserve and propagate uncertainty information, and present this information to the user in an intuitive yet powerful way. Phase I activities will include research on user information needs and a prototype demonstration which combines a novel model-based prognostic data fusion technique, a fuzzy expert system for interpretation, and a web-based user interface. This demonstration will be conducted for a selected F-35 subsystem, and will include multiple realistic maintenance scenarios. A large existing fault-to-failure progression database for 48 bearings will be used to provide raw data to feed the Phase I demo. Phase II will include further development and implementation for multiple subsystems, and a demonstration using actual F-35 PHM data.BENEFITS: Automated reasoner and data presentation tools for PHM would free maintenance personnel to focus on maintenance, rather than data analysis and interpretation. This will help insure consistent diagnoses, faster turn-around, and higher sortie generation rates by taking full advantage of the tremendous knowledge embedded in PHM data.

Principal Investigator:

Sean Marble

Business Contact:

Sean Marble
Small Business Information at Submission:

850 Energy Drive Idaho Falls, ID 83401

EIN/Tax ID: 820533423
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No