Detection of broken rotor bars in squirrel cage induction motors by amplifying fault harmonics
- 1 June 2017
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-4
Abstract
This paper proposes a new diagnostic signal for detecting broken rotor bars (BRBs) in squirrel cage induction motors (SCIMs). The fundamental 50 Hz frequency component of the three stator current signals (SCSs) are estimated using three sets of modified-adaptive notch filters (M-ANFs) and the residual signals are extracted. The total harmonic signals (THSs) of the zero sequence component (ZSC) of the residual signals is then used as a new signal for fault diagnosis purpose. The dominant fundamental frequency is eliminated in the spectrum of the new diagnostic signal. This effectively results in amplification of the side bands of interest among other frequency components in the spectrum. Laboratory experiments were conducted with the motor operating at two different load conditions and test results confirm the efficacy of the proposed method in diagnosis of bar breakage.Keywords
This publication has 9 references indexed in Scilit:
- Low-Cost Diagnosis of Rotor Asymmetries in Induction Machines Working at a Very Low Slip Using the Reduced Envelope of the Stator CurrentIEEE Transactions on Energy Conversion, 2015
- Diagnosis of broken rotor bars in induction motors based on harmonic analysis of fault components using modified adaptive notch filter and discrete wavelet transformSimulation Modelling Practice and Theory, 2014
- Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet TransformIEEE Transactions on Industrial Electronics, 2010
- On the Use of a Lower Sampling Rate for Broken Rotor Bar Detection With DTFT and AR-Based Spectrum MethodsIEEE Transactions on Industrial Electronics, 2008
- Stability analysis of periodic orbit of an adaptive notch filter for frequency estimation of a periodic signalAutomatica, 2007
- Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machinesIEEE Transactions on Industry Applications, 2006
- A New Algorithm for Transient Motor Current Signature Analysis Using WaveletsIEEE Transactions on Industry Applications, 2004
- Improving the Signal Data Acquisition in Condition Monitoring of Electrical MachinesIEEE Transactions on Instrumentation and Measurement, 2004
- Induction motor asymmetrical faults detection using advanced signal processing techniquesIEEE Transactions on Energy Conversion, 1999