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Matthew Daigle Gives Invited Talk at Palo Alto Research Center

Matthew Daigle delivered an invited talk on “Model-Based Prognostics” at the Palo Alto Research Center (PARC) in Palo Alto, California. This area of prognostics is focused on the estimation of system health and the prediction of critical events such as the end of usable life. Model-based prognostics establishes a formal mathematical framework for defining prognostics problems and algorithms for solving them through the use of system models. The talk presented the general approach of model-based prognostics, describing modeling approaches, estimation algorithms, prediction algorithms, and uncertainty representation and quantification, as well as advanced topics including structural model decomposition, system-level prognostics, and distributed prognostics. The talk was attended by members of the Intelligent Systems Laboratory at PARC, and was very well received.

BACKGROUND: Dr. Matthew Daigle is a Research Scientist in the Diagnostics and Prognostics Group and the Prognostics Center of Excellence in the Discovery and Systems Health research area. His research is focused on physics-based modeling, model-based diagnostics, and model-based prognostics.

NASA PROGRAM FUNDING: The work presented was funded in part by the System-wide Safety Assurance Technologies (SSAT) project, Aviation Safety Program (AvSP), Aeronautics Research Mission Directorate ARMD; and the Advanced Ground Systems Maintenance (AGSM) project, Ground Systems Development and Operations (GSDO) program, Human Exploration and Operations Mission Directorate (HEOMD).

Contact: Matthew Daigle

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