Broken Rotor Bar Fault Detection of IM Based on the Counter-Current Braking Method

This paper presents an improved method for the broken rotor bar detection in a squirrel-cage induction motor (IM). The method is based on the spectral analysis of the transient stator current signal during the counter-current braking (CCB). Contrary to the classical CCB, the proposed method results in the low braking current, which is a small fraction of the rated value and serves as a broken bar detection test signal only. This kind of the broken rotor bar fault diagnosis is independent of loading conditions and can be carried out even for a free shaft motor. The existence of spectral components in the low CCB current signal indicating the faulty conditions is first proven with the generalized theory of symmetrical components. The method is then verified via simulations, using an IM model based on the finite-element analysis and the magnetically coupled multiple circuits approach. Afterward, the experiments are performed, showing a good agreement with both the theoretical prediction and the simulation results, confirming the presence of the fault-induced components in the stator current spectra.

[1]  Hee-Dong Kim,et al.  Identification of false rotor fault indications produced by on-line MCSA for medium voltage induction machines , 2015, 2015 61st IEEE Pulp and Paper Industry Conference (PPIC).

[2]  Jose A. Antonino-Daviu,et al.  Instantaneous Frequency of the Left Sideband Harmonic During the Start-Up Transient: A New Method for Diagnosis of Broken Bars , 2009, IEEE Transactions on Industrial Electronics.

[3]  Chrysostomos D. Stylios,et al.  A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors , 2015, IEEE Transactions on Industrial Informatics.

[4]  Manuel A. Duarte-Mermoud,et al.  Fault detection in induction motors using Hilbert and Wavelet transforms , 2007 .

[5]  Jose A. Antonino-Daviu,et al.  Application of the Teager–Kaiser Energy Operator to the Fault Diagnosis of Induction Motors , 2013, IEEE Transactions on Energy Conversion.

[6]  Daniel Stevens,et al.  Induction motor rotor bar damage evaluation with magnetic field analysis , 2015, 2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED).

[7]  Antero Arkkio,et al.  Broken bar indicators for cage induction motors and their relationship with the number of consecutive broken bars , 2013 .

[8]  Pragasen Pillay,et al.  A new algorithm for transient motor current signature analysis using wavelets , 2003 .

[9]  Ahmed Braham,et al.  Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis , 2015, IEEE Transactions on Industrial Informatics.

[10]  Jose A. Antonino-Daviu,et al.  Vibration Transient Detection of Broken Rotor Bars by PSH Sidebands , 2013, IEEE Transactions on Industry Applications.

[11]  L Saidi,et al.  Diagnosis of broken-bars fault in induction machines using higher order spectral analysis. , 2013, ISA transactions.

[12]  Jose A. Antonino-Daviu,et al.  Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current , 2011, IEEE Transactions on Industrial Electronics.

[13]  Mehmet Karakose,et al.  A new method for early fault detection and diagnosis of broken rotor bars , 2011 .

[14]  Antero Arkkio,et al.  Diagnosis of Induction Motors Under Varying Speed Operation by Principal Slot Harmonic Tracking , 2015, IEEE Transactions on Industry Applications.

[15]  Thomas G. Habetler,et al.  A survey of condition monitoring and protection methods for medium voltage induction motors , 2009 .

[16]  Martin Riera-Guasp,et al.  Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines , 2015, IEEE Transactions on Energy Conversion.

[17]  Hamid-Reza Bahrami,et al.  Iterative Condition Monitoring and Fault Diagnosis Scheme of Electric Motor for Harsh Industrial Application , 2015, IEEE Transactions on Industrial Electronics.

[18]  Dragan Matic,et al.  Fault Diagnosis of Rotating Electrical Machines in Transient Regime Using a Single Stator Current’s FFT , 2015, IEEE Transactions on Instrumentation and Measurement.

[19]  Birsen Yazici,et al.  An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current , 1999 .

[20]  Jose A. Antonino-Daviu,et al.  A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform , 2008, IEEE Transactions on Industrial Electronics.

[21]  R. Puche-Panadero,et al.  Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip , 2009, IEEE Transactions on Energy Conversion.

[22]  Gérard-André Capolino,et al.  Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art , 2015, IEEE Transactions on Industrial Electronics.

[23]  Shahin Hedayati Kia,et al.  A High-Resolution Frequency Estimation Method for Three-Phase Induction Machine Fault Detection , 2007, IEEE Transactions on Industrial Electronics.

[24]  Don-Ha Hwang,et al.  High-Resolution Parameter Estimation Method to Identify Broken Rotor Bar Faults in Induction Motors , 2013, IEEE Transactions on Industrial Electronics.

[25]  Vicente Climente-Alarcon,et al.  Application of the Wigner–Ville distribution for the detection of rotor asymmetries and eccentricity through high-order harmonics , 2012 .

[26]  Konstantinos N. Gyftakis,et al.  The Zero-Sequence Current as a Generalized Diagnostic Mean in Δ-Connected Three-Phase Induction Motors , 2014, IEEE Transactions on Energy Conversion.

[27]  Remus Pusca,et al.  Study of Rotor Faults in Induction Motors Using External Magnetic Field Analysis , 2012, IEEE Transactions on Industrial Electronics.

[28]  Darko Marcetic,et al.  Advanced model of IM including rotor slot harmonics , 2015 .

[29]  Norman Mariun,et al.  Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review , 2011 .

[30]  M. Riera-Guasp,et al.  Influence of Nonconsecutive Bar Breakages in Motor Current Signature Analysis for the Diagnosis of Rotor Faults in Induction Motors , 2010, IEEE Transactions on Energy Conversion.

[31]  H.A. Toliyat,et al.  Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review , 2005, IEEE Transactions on Energy Conversion.

[32]  Lie Xu,et al.  Improvement of the Hilbert Method via ESPRIT for Detecting Rotor Fault in Induction Motors at Low Slip , 2013, IEEE Transactions on Energy Conversion.

[33]  Arturo Garcia-Perez,et al.  The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors , 2011, IEEE Transactions on Industrial Electronics.

[34]  Vicente Climente-Alarcon,et al.  Induction Motor Diagnosis Based on a Transient Current Analytic Wavelet Transform via Frequency B-Splines , 2011, IEEE Transactions on Industrial Electronics.

[35]  Tae-Sik Kong,et al.  Identification of False Rotor Fault Indications Produced by Online MCSA for Medium-Voltage Induction Machines , 2016, IEEE Transactions on Industry Applications.

[36]  Lie Xu,et al.  An ESPRIT-SAA-Based Detection Method for Broken Rotor Bar Fault in Induction Motors , 2012, IEEE Transactions on Energy Conversion.

[37]  Jongwan Kim,et al.  Evaluation of the Influence of Rotor Magnetic Anisotropy on Condition Monitoring of Two-Pole Induction Motors , 2015, IEEE Transactions on Industry Applications.

[38]  Zeljko Kanovic,et al.  Low-Cost Diagnosis of Rotor Asymmetries in Induction Machines Working at a Very Low Slip Using the Reduced Envelope of the Stator Current , 2015, IEEE Transactions on Energy Conversion.