Broken bar detection using current analysis — A case study

This paper covers a case study of broken bar detection for 3.15 MW motor in a thermal power plant application. The motor current is measured in one phase. Feature extraction is based on transient and steady state analysis. Hilbert and Wavelet transforms are used to extract broken bar features. To discuss rotor condition in time domain skewness and kurtosis of current envelope are also considered. Low shaft-load conditions are present. In case of high-voltage, high-power induction motor reliable broken bar detection is possible when contemporary digital signal processing techniques are used.

[1]  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.

[2]  F. Filippetti,et al.  Quantitative evaluation of induction motor broken bars by means of electrical signature analysis , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[3]  Richard M. Crowder,et al.  Electric Drives and Electromechanical Systems , 2006 .

[4]  Mohamed Benbouzid,et al.  Bibliography on induction motors faults detection and diagnosis , 1999 .

[5]  Gerald Burt Kliman,et al.  Methods of Motor Current Signature Analysis , 1992 .

[6]  Colin H. Hansen,et al.  Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading , 2006 .

[7]  Alberto Bellini,et al.  Quantitative Evaluation of Induction Motor Broken Bars By Means of Electric Signals Signatures , 2001 .

[8]  Mohamed Benbouzid,et al.  A review of induction motors signature analysis as a medium for faults detection , 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

[9]  Vicente Climente-Alarcon,et al.  Transient-based analysis for the detection of broken damper bars in synchronous motors , 2013 .

[10]  M. Riera-Guasp,et al.  Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines , 2006, IEEE Transactions on Industry Applications.

[11]  Hamid A. Toliyat,et al.  Transient analysis of cage induction machines under stator, rotor bar and end ring faults , 1995 .

[12]  Zeljko Djurovic,et al.  A new approach to detection of defects in rolling element bearings based on statistical pattern recognition , 2009 .

[13]  W. T. Thomson,et al.  Current signature analysis to detect induction motor faults , 2001 .