Detection of Broken Bars in Induction Motor through the Analysis of Voltage Modulation

Author

Nemec, Mitja ; Ambrozic, Vanja ; Nedeljkovic, David ; Fiser, Rastko

Author_Institution

Fac. of Electr. Eng., Ljubljana Univ.

Volume

3

fYear

2006

fDate

9-13 July 2006

Firstpage

2450

Lastpage

2454

Abstract

The paper presents an application of a novel method for diagnostics of electric and magnetic asymmetry of rotor cage in induction motor due to broken rotor bars. Increasing anomaly in magnetic field distribution results in a degradation of steady-state and dynamic performance of induction motor. It can be determined through the analysis of the average duty cycle of the modulated voltage. Broken rotor bars would cause torque and speed ripple which is compensated by speed control algorithm. Consequently oscillation in duty cycle of the modulated stator voltage appears. This effect can be simply detected without additional hardware. Correct evaluation of faulty motor performance is very significant part of condition monitoring and diagnostic procedure in modern supervision systems of electrical drives

Keywords

condition monitoring; fault diagnosis; induction motors; magnetic fields; modulation; rotors; stators; torque; average duty cycle; broken rotor bars detection; condition monitoring; electric asymmetry diagnostics; electrical drives; magnetic asymmetry diagnostics; magnetic field distribution; modern supervision systems; rotor cage in induction motor; speed control algorithm; speed ripple; stator voltage; torque ripple; voltage modulation; Bars; Degradation; Induction motors; Magnetic analysis; Magnetic fields; Rotors; Stators; Steady-state; Velocity control; Voltage; fault diagnosis; induction machines; inverters; modulation; squirell cage motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295957

Filename

4078632