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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