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TI Researchers Receive SAE 2015 Prognostics & Health Management Conference Honorable Mention For Best Theoretical Paper
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TI Researchers Receive SAE 2015 Prognostics & Health Management Conference Honorable Mention For Best Theoretical Paper

A paper on "Diagnostic Reasoning Using Prognostic Information for Unmanned Aerial Systems" has received the Society of Automotive Engineers (SAE) Prognostics and Health Management Society’s 2015 Prognostics and Health Management Conference (PHM 2015) Honorable Mention for Best Theoretical Paper.

BACKGROUND: With the increasing popularity of unmanned aircraft, continuous monitoring of their systems, software, and health status are becoming more and more important to ensuring safe, correct, and efficient operation and fulfillment of missions. The paper presents an integration of prognosis models and prognostic information with the Realizable, Responsive, and Unobtrusive Unit (R2U2) monitoring and diagnosis framework. This integration makes available statistically reliable health information predictions of the future at a much earlier time, enabling autonomous decision making. Prognostic information can be used in the R2U2 model to improve diagnostic accuracy and enable decisions to be made in present time in order to deal with events in the future. This is an advancement over the current state-of-the-art, where temporal logic observers can only do such valuation at the end of a time interval. Usefulness and effectiveness of this integrated diagnostics and prognostics framework was demonstrated using simulation experiments with the NASA Dragon Eye electric unmanned aircraft.

PROGRAM FUNDING: NASA ARC Seedling: "Intelligent Hardware-Enabled Sensor and Software Safety and Health Management for Autonomous Unmanned Aerial Systems"

TEAM: Chetan Kulkarni (SGT, Inc.), Indranil Roychoudhury, and Johann Schumann

POC: Johann Schumann, johann.m.schumann@nasa.gov

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