Poster Presentations

Doctoral Symposium Posters
A New Approach to High Impedance Fault Detection and Location for Distribution Systems

Roghieh Abdollahi, Clemson University

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Development of Deep Learning Based Prognostics for Rotating Components

Jason Deutsch, University of Illinois, Chicago

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Fleet Prognostics and Health Management – A General Process Model for Data-Driven Fleet Analytics

Carolin Wagner, University of Münster

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Probabilistic Life Prediction and Prognostics-Based Maintenance Optimization for Gas Pipelines

Yuhao Wang, Arizona State University

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Vibration-Based Fault Detection and Quantification for Primary Flight Control Electro-Mechanical Actuators

Mohamed Ismail, Institute of Flight Systems, German Aerospace Center (DLR)

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Enhanced System Health Assessment Using Adaptive Self-Learning Techniques

Yuan Di, University of Cincinnati

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Development and Application of Advanced Data-Driven Methods for Prognostics and Health Management of Industrial Components under Scarce Degradation Information

Francesco Cannarile, Politecnico di Milano

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