Paper Info
Title
Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives
Abstract
As a primer driver, induction motors are the most electric energy consuming component in industry. The exposure of the motor to stator winding asymmetry, combined with broken rotor bar fault significantly increases the temperature and reduces the efficiency and life of the motor. Accurate and timely diagnosis of these faults will help to maintain motors operating under optimal statues and avoid excessive energy consumption and severe damage to systems. This paper examines the performance of diagnosing the effect of asymmetry stator winding on broken rotor bar faults under closed loop operation modes. It examines the effectiveness of conventional diagnosis features in both motor current and voltage signals using spectrum and modulation signal bispectrum analysis (MSBA). Evaluation results show that the combined faults cause an additional increase in the sideband amplitude and this increase in sideband can be observed in both the current and voltage signals under the sensorless control mode. MSB analysis has a good noise reduction capability and produces a more accurate and reliable diagnosis in that it gives more correct indication of the fault severity and location for all operating conditions.
Year
DOI
Venue
2016
10.1109/IConAC.2016.7604937
2016 22nd International Conference on Automation and Computing (ICAC)
Keywords
Field
DocType
Induction motor,stator winding asymmetry and broken rotor bar faults,Variable speed drive,Motor current and voltage signatures analysis
Noise reduction,Sideband,Induction motor,Bispectrum,Control theory,Voltage,Control engineering,Rotor (electric),Amplitude modulation,Engineering,Stator
Conference
ISBN
Citations 
PageRank 
978-1-5090-2877-1
0
0.34
References 
Authors
1
5
Name
Order
Citations
PageRank
Abdulkarim Shaeboub121.40
Mark Lane200.68
Usama Haba301.01
Fengshou Gu42323.43
Andrew Ball57217.29