Title :
Fault detection of squirrel cage induction motor by analyzing motor current signals
Author :
Yu-Seop Park ; Seok-Myeong Jang ; Jang-Young Choi ; Cheol-Soo Goo
Author_Institution :
Dept. of Electr. Eng., Chungnam Nat. Univ., Daejeon, South Korea
Abstract :
This paper deals with the operating characteristics of a squirrel cage induction motor with a broken rotor bar, stator winding inter-turn short and their complex fault conditions. The considered operating characteristics are phase current, torque and speed. In addition, differently from conventional fault detecting method using Park´s transformation, this paper applies the MCSA(motor current signal method) to distinguish the fault types more accurately. In addition, this paper constructed the experimental set to adjust the speed of the induction motor with a permanent magnet synchronous generator connected to a load bank to confirm the fault characteristics of the induction motor according to its slip conditions.
Keywords :
fault diagnosis; permanent magnet generators; rotors; slip (asynchronous machines); squirrel cage motors; stators; synchronous generators; torque; MCSA; Park´s transformation; broken rotor bar; complex fault conditions; fault characteristics; fault detection; load bank; motor current signal method; permanent magnet synchronous generator; phase current; slip conditions; speed; squirrel cage induction motor; stator winding; torque; Amplitude modulation; Analytical models; Artificial intelligence; Inverters; Silicon; Space vector pulse width modulation;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0953-0
DOI :
10.1109/VPPC.2012.6422532