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Graduate Exam Abstract


Craig Powers

M.S. Final
November 2, 2015, 10:00 am - 11:30 am
LSC 380
OFFLINE DETECTION OF BROKEN ROTOR BARS IN AC INDUCTION MOTORS

Abstract: OFFLINE DETECTION OF BROKEN
ROTOR BARS IN AC INDUCTION
MOTORS



The detection of the broken rotor bar
defect in medium- and large-sized AC
induction machines is currently one of
the most difficult tasks for the motor
condition and monitoring industry. If a
broken rotor bar defect goes
undetected, it can cause a
catastrophic failure of an expensive
machine. If a broken rotor bar defect
is falsely determined, it wastes time
and money to physically tear down
and inspect the machine only to find
an incorrect diagnosis. Previous work
in 2009 at Baker/SKF-USA in
collaboration with the Korea University
has developed a prototype instrument
that has been highly successful in
correctly detecting the broken rotor
bar defect in ACIMs where other
methods have failed. Dr. Sang Bin
and his students at the Korea
University have been using this
prototype instrument to help the
industry save money in the successful
detection of the BRB defect.
A review of the current state of
motor conditioning and monitoring
technology for detecting the broken
rotor bar defect ACIMs shows
improved detection of this fault is still
relevant. An analysis of previous work
in the creation of this prototype
instrument leads into the refactoring
of the software and hardware into
something more deployable, cost
effective and commercially viable.


Adviser: Dr. George J. Collins
Co-Adviser: N/A
Non-ECE Member: Dr. Hiroshi Sakurai, Mechanical Engineering
Member 3: Dr. Steven C Reising, Electrical and Computer Engineering
Addional Members: N/A

Publications:
N/A


Program of Study:
CS 460 Embedded Systems
ECE 423 DSP for Communication
ECE 512 Digital Signal Processing
ECE 536 RF Integrated Circuit Design
ECE 561 Design of Embedded Systems
ECE 562 Power Electronics I
ECE 569 MEMS Devices
ECE 699 Thesis