Advanced Prognostic and Health Management (PHM) and Model Based Prognostic Useful Life Remaining Capabilities for Aircraft Tactical Information and Co

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-07-C-0349
Agency Tracking Number: N071-010-0849
Amount: $149,803.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: N07-010
Solicitation Number: 2007.1
Small Business Information
75 Aero Camino, Suite A, Goleta, CA, 93117
DUNS: 153927827
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gary Key
 Principal Investigator
 (321) 277-8396
 garykey@aol.com
Business Contact
 Iva Heins
Title: Contracts Manager
Phone: (805) 685-6672
Email: iheins@fti-net.com
Research Institution
N/A
Abstract
Frontier Technology, Inc. (FTI) will demonstrate the feasibility of developing prognostic models that can predict current health state, future failure and remaining useful life (RUL) for electronic systems with focus on aircraft communication, navigation and identification systems (CNI) and their components. FTI will combine principles of real-time prognostic health management that analyze system health states with Reliability Centered Maintenance that estimate RUL and recommend appropriate corrective action. FTI’s research adapts successful system-level prognostic and RCM technologies to installed electronics systems using data-derived statistical models that function with existing data sources and are easily extended to varying system configurations. The research will: * Maximize use of existing sensors, parameters and data sources from installed systems. * Create models of healthy systems using variances from optimum system conditions to detect incipient faults. * Identify the fault to failure progression and estimate component or system RUL. * Notify system users of fault detection, RUL and suggested action/areas of investigation This Phase I effort extends FTI’s research into prognostic assessment of system health. Phase II will demonstrate prototypes of the models developed during Phase I and will identify limitations and areas requiring investigation in applying the technology to specific electronic system configurations.

* Information listed above is at the time of submission. *

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