Validation Tools and Data for PHM Technologies

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-04-C-0188
Agency Tracking Number: N041-028-0072
Amount: $99,467.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: N04-028
Solicitation Number: 2004.1
Small Business Information
SENTIENT CORP.
850 Energy Drive, Suite 307, Idaho Falls, ID, 83401
DUNS: 089822014
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Sean Marble
 President
 (208) 522-8560
 smarble@sentientscience.com
Business Contact
 Sean Marble
Title: President
Phone: (208) 522-8560
Email: smarble@sentientscience.com
Research Institution
N/A
Abstract
Emerging prognostics and health management (PHM) technologies will reduce maintenance costs for military aircraft while improving safety and availability. On the Joint Strike Fighter, software modules supplied by multiple vendors will be assembled into PHM area reasoners. System integrators will need tools and data for evaluation, selection, and testing of these modules. Sentient Corporation, in cooperation with Pratt & Whitney and Purdue University, will develop a PHM V&V toolset for efficient and effective testing using proven methodologies for diagnostic validation along with innovative metrics for assessing the accuracy and uncertainty of predictive prognostics. Ground truth data is also essential to any V&V capability. To maximize access to and utility of existing data, the new toolset will include powerful functions for secure distributed access to archival data. Finally, a Virtual Bearing Simulator will be created that combines general bearing dynamics and fault progression models with application specific finite element transfer function analyses to generate realistic fault vibration signatures and failure progressions. These signatures will allow PHM development to begin at the design stage for new platforms, and will augment operational validation data for deployed platforms. This project will leverage an existing program to develop fault-to-failure progression models that includes a large experimental study of bearing fault signatures and failure trajectories.

* information listed above is at the time of submission.

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