Dynamic Physical/Data-Driven Models for System-Level Prognostics and Health Management
Navy STTR FY2010.A
Sol No.: |
Navy STTR FY2010.A |
Topic No.: |
N10A-T009 |
Topic Title: |
Dynamic Physical/Data-Driven Models for System-Level Prognostics and Health Management |
Proposal No.: |
N10A-009-0391 |
Firm: |
Global Strategic Solutions LLC 22375 Broderick Drive
Suite 140
Sterling, Virginia 20166-9345 |
Contact: |
Michael Mullins |
Phone: |
(703) 466-0500 |
Web Site: |
www.gssllc.net |
Abstract: |
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. |
Benefits: |
The technology developed under this effort can be easily applied in other domains such as commercial
aviation, sea, space and ground vehicle platforms, in order to advance the implementation of Condition Based
Maintenance (CBM+) principles. In addition, there is a big potential for commercialization. For example, the
technology resulting from this effort can be applied in other industries including, commercial aviation, power
utilities, automotive, consumer appliances, medical equipment, and any commercial plants where failures in
large scale manufacturing systems have a great economic impact. |
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