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PhD Dissertation Defense: Non-Destructive, Remote Testing of Physically Distributed Power Systems
Start Date: 6/1/2015Start Time: 10:00 AM
End Date: 6/1/2015End Time: 12:00 PM

Event Description
Ph.D. Dissertation Defense of Christian Schegan on Non-Destructive, Remote Testing of Physically Distributed Power Systems: Modeling, Analysis and Experimental Prototyping
 
Advisor
Dr. Karen Miu
 
Abstract

The design of naval ships is in the process of changing. Traditionally, full-scale prototypes were built in order to test and improve ship designs; a process that is both time-consuming and costly. One approach for streamlining the design process involves remote, non-destructive testing of physically distributed power systems hardware.

Remote testing of physically distributed power systems hardware would allow for the control and operation of prototyped equipment or subsystems to be tested in a reliable and repeatable manner, before being installed in an actual system. Rigorous testing of hardware prototypes can also expose potential design problems or device defects early in the design process, minimizing risk, project time and monetary cost.

In order to determine the feasibility and effectiveness of remote testing, it is important to determine its limitations with respect to the types and ranges of testing. This may be done by constructing metrics to qualitatively and quantitatively measure the ability of physically partitioned experimental setup to capture the intended behavior of the original system. First, metrics may be applied to simulations of the intended partitioned system (i.e. initial feasibility analysis) and then later to experimental setups.

This thesis addresses the above issues by focusing on the modeling, analysis and experimental prototyping of physically distributed power systems.

Contact Information:
Name: Electrical and Computer Engineering Department
Phone: 215-895-2241
Email: ece@drexel.edu
Electrical and Computer Engineering Department
Location:
ECE Conference Room 302
3rd Floor, Bossone Research Enterprise Center
Audience:
  • Graduate Students
  • Faculty

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