Capstone Projects

Zach McNulty

student standing in front of a research display poster


Zach McNulty


Electromagnetic and motor technology


2 Quarters (Winter & Spring 2018)


Francois LePeintre


As the development of motor and motor technology has evolved and been applied to many manufacturing fields, so has the technology for detecting motor faults. There is a need for motor fault detection to become faster, safer, more efficient, and operated remotely: if it can be used on motors in operation, this will serve both the consumer and the supplier by enhancing performance and productivity. The primary goal of this research is to explore the possibility of using electromagnetic frequency signal sensing and diagnostic tree machine learning to classify and diagnose DC motor flaws while in operation.