Date of Graduation

Spring 2015

Document Type

Honors Research Project

Degree Name

Bachelor of Science

Major

Electrical Engineering - Cooperative Education

Research Sponsor

Seungdeog Choi

First Reader

Aaron Fleischman

Second Reader

Jose Alexis De Abreu Garcia

Abstract

Induction motors are key to many applications and are one of the most commonly used electric devices. Currently, induction motor fault detection schemes are limited in features and computational power. With current technology, fault detection algorithms are operating in embedded systems and run on embedded processors. These processors do not have the computation power and functionality that more advanced computer systems have, which is the source of the issue. With the recent rise in cloud computing and connected devices, it is possible to build an induction motor monitoring system with a much greater set of features and possibilities.

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