Doctoral Consortium

The Doctoral Consortium provides an opportunity for graduate students to present their research interests and plans at a formative stage in their research. The students will receive structured guidance from a panel of distinguished researchers as well as comments from conference participants and fellow students in a collegial setting. The PHM Society Doctoral Consortium will be held as a workshop on Monday, October 14, 2013 at the start of the conference.

Start Time Function Location
7:00 AM Registration TBD
7:00 AM–8:15 AM Continental Breakfast TBD
8:15 AM Doctoral Consortium Welcome
– Nicholas Propes
8:30 AM In-situ Lithium-ion Battery Strain-based Diagnostics and Multi-scale Modeling
– Christopher Hendricks, University of Maryland
8:40 AM Panelist Feedback
8:55 AM Audience Q/A
9:00 AM A Novel Integrated Approach Using Nonlinear Models and Experimental Data for System Diagnosis
– Mohsen Samadani, Villanova University
9:10 AM Panelist Feedback
9:25 AM Audience Q/A
9:30 AM Development of Novel Methodology and Tools for Bearing Fault Diagnostics
– Brandon Vanhecke, University of Illinois-Chicago
9:40 AM Panelist Feedback
9:55 AM Audience Q/A
10:00 AM–10:30 AM Networking Break
10:30 AM Incorporating Fault Codes in Prognostic Analysis
– Eric Strong, University of Tennessee-Knoxville
10:40 AM Panelist Feedback
10:55 AM Audience Q/A
11:00 AM Machine Diagnostics based on Blind Source Separation and Novelty Detection Using Non-Stationary Vibration Signals
– Oscar Cardona Morales, Universidad Nacional de Colombia
11:10 AM Panelist Feedback
11:25 AM Audience Q/A
11:30 AM Application of Machine Learning for Structural Health Monitoring
– Rajesh Kumar Neerukatti, Arizona State University
11:40 AM Panelist Feedback
11:55 AM Audience Q/A
12:00 PM–1:30 PM Networking Break
1:30 PM Fusion Prognostics Model for Solenoid Valve Degradation
– Noel Jordan Jameson, University of Maryland
1:40 PM Panelist Feedback
1:55 PM Audience Q/A
2:00 PM An Integrated Framework of Prognostics: Ensemble of Prognostics Algorithms to Overcome Limited Information
– Dawn An, University of Florida/Korea Aerospace University
2:10 PM Panelist Feedback
2:25 PM Audience Q/A
2:30 PM A Stochastic Multiscale Approach to Structural Health Monitoring of Composites
– Joel Johnston, Arizona State University
2:40 PM Panelist Feedback
2:55 PM Audience Q/A
3:00 PM–3:30 PM Networking Break
3:30 PM Prognosis of Short Circuit Failures in Lithium-Ion Batteries
– Nicholas Williard, University of Maryland
3:40 PM Panelist Feedback
3:55 PM Audience Q/A
4:00 PM Panelists Final Thoughts TBD
4:30 PM Feedback from Students & Audience TBD
4:50 PM Conclusions and Feedback