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Dynamic Physical/Data-Driven Models for System-Level Prognostics and Health Management

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-10-C-0435
Agency Tracking Number: N10A-009-0391
Amount: $69,457.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T009
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-07-30
Award End Date (Contract End Date): 2011-02-28
Small Business Information
22375 Broderick Drive Suite 140
Sterling, VA 20166
United States
DUNS: 608472374
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Michael Mullins
 Senior Systems Engineer
 (703) 466-0500
Business Contact
 Larry Bach
Title: Director of Operations
Phone: (703) 466-0500
Research Institution
 Vanderbilt University
 Gautam Biswas
2015 Terrace Place Room 209
Nashville, TN 37235
United States

 (615) 343-6204
 Nonprofit College or University

Prognostics and health management (PHM) systems are critical for detecting impending faults and enabling a proactive decision process for maintenance or replacement of avionics systems before actual failures occur. A PHM system is essential to enhancing aircraft systems reliability and maintaining a high level of mission readiness and affordability. Current PHM advancements are focused on aircraft structures and electro-mechanical components. There is a need to address the unique PHM system-level design characteristics for avionics systems. This effort investigates the development of a toolset to enable the integration of data, models and algorithms for system-level prognostics and health management of avionics systems. The effort researches and characterizes a systematic framework for the integration, processing, and distribution of health state data from onboard monitoring systems to off-board Automatic Test Systems (ATS). This includes investigating the application of the latest Condition Based Maintenance (OSA-CBM), MIMOSA, ISO and IEEE ATS-related standards to provide a standard, common model (structure) for exchange of health state data and information across the maintenance infrastructure. Including assessment of data analysis and modeling techniques to enable system-level health assessment and performance life remaining predictions. A technology development plan and a desktop proof-ofconcept demonstration for a small target system are part of this effort.

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

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