DocumentCode :
2532324
Title :
Sequences of field oriented control for the detection of faulty rotor bars in induction machines. The Vienna monitoring method
Author :
Kral, Christian ; Pirker, Franz ; Schagginger, Matthias ; Wieser, Rudolf S.
Author_Institution :
Inst. of Electr. Machines & Drives, Wien Univ. of Technol., Austria
fYear :
1998
fDate :
29 Jun-1 Jul 1998
Firstpage :
463
Lastpage :
468
Abstract :
Rotor cage asymmetries of induction machines cause disturbances of the air gap flux pattern. These deviations affect the torque and speed as well as stator terminal voltages and currents. The proposed fault detection technique senses the actual machine state with the help of real time space phasor models. The Vienna monitoring method compares online the voltage model output with a current model and observes the deviations in a rotor fixed reference frame. High accuracy and robustness allows the detection of a faulty rotor bar out of the switched voltage and current signals of an inverter fed machine in an early state. The focus of this paper is the detection of a single rotor bar increase under transient speed conditions without the necessity of a clutched load. During an inverter controlled accelerating, lasting 200 ms only, the Vienna monitoring method evaluates the currents, voltages, and rotor position for the calculation of an indication quantity that allows a reliable detection
Keywords :
asynchronous machines; fault diagnosis; machine vector control; monitoring; rotors; Vienna monitoring method; air gap flux; current model; fault detection; field oriented control; induction machines; rotor bars; space phasor models; voltage model; Acceleration; Bars; Condition monitoring; Drives; Electrical fault detection; Fault detection; Induction machines; Inverters; Torque; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Motion Control, 1998. AMC '98-Coimbra., 1998 5th International Workshop on
Conference_Location :
Coimbra
Print_ISBN :
0-7803-4484-7
Type :
conf
DOI :
10.1109/AMC.1998.743581
Filename :
743581
Link To Document :
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