DocumentCode :
817307
Title :
Effects of load magnitude on diagnosing broken bar faults in induction motors using the pendulous oscillation of the rotor magnetic field orientation
Author :
Mirafzal, Behrooz ; Demerdash, Nabeel A O
Author_Institution :
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
Volume :
41
Issue :
3
fYear :
2005
Firstpage :
771
Lastpage :
783
Abstract :
The effects of load level on the ability to diagnose broken bar faults in squirrel-cage induction motors are studied in this paper. The pendulous oscillation of the rotor magnetic field orientation is implemented as a fault signature for rotor fault diagnostic purposes at steady-state operations. Moreover, the effects of load level on the low-side band component of the stator current spectrum, and associated diagnostic difficulties in this approach particularly in the presence of motor operation from pulsewidth-modulation drives, are reported as well. These investigations were performed through testing 2-hp and 5-hp induction motors over a wide range of load levels and control drives. The results of these tests and investigations demonstrate the efficacy of the pendulous oscillation signature as a diagnostic means that can be used for a wide range of motor operating conditions.
Keywords :
fault diagnosis; machine testing; magnetic fields; oscillations; rotors; squirrel cage motors; 2 hp; 5 hp; broken bar fault diagnosis; load magnitude; pendulous oscillation; pulsewidth-modulation drive; rotor magnetic field orientation; squirrel-cage induction motor; Bars; Electric machines; Fault detection; Induction motors; Industry Applications Society; Magnetic fields; Open loop systems; Pulse width modulation; Rotors; Testing; Broken bar diagnosis; induction motor fault detection; pendulous oscillation; rotor magnetic field orientation; swing angle;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2005.847315
Filename :
1433002
Link To Document :
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