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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