Wavelet Analysis for Stator Fault Detection in Induction Machines

The main objective of the proposed analysis is the detection of inter-turn short circuits in the stator windings of an induction machine. The analysis of the space vector current modulus of an induction motor is presented in this paper. This analysis is based on Daubechies 8 wavelet with seven decomposition levels. The 5th decomposition-level detail signal for a 4 kHz sampling frequency is chosen as a fault indicator, based on simulation results that show different behaviors of the energy contained in the detail signals independent of the percentage of load and fault levels. Experimental results that validate the proposed strategy are also presented. These results also show that the strategy is in addition immune to load variations as well as to feeding voltage unbalances.

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

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

[3]  Shibin Wang,et al.  Synchronous Enhancement of Periodic Transients on Polar Diagram for Machine Fault Diagnosis , 2009, Int. J. Wavelets Multiresolution Inf. Process..

[4]  Gojko Joksimovic,et al.  The detection of inter-turn short circuits in the stator windings of operating motors , 2000, IEEE Trans. Ind. Electron..

[5]  S. Mallat.  Multiresolution approximations and wavelet orthonormal bases of L^2(R) , 1989 .

[6]  T. S. Radwan,et al.  Real-Time Implementation of Wavelet Packet Transform-Based Diagnosis and Protection of Three-Phase Induction Motors , 2007, IEEE Transactions on Energy Conversion.

[7]  Behzad Shahraray,et al.  Uniform Resampling of Digitized Contours , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  M.I. Valla,et al.  A 2-D model of the induction machine: an extension of the modified winding function approach , 2004, IEEE Transactions on Energy Conversion.

[9]  H. Douglas,et al.  The impact of wavelet selection on transient motor current signature analysis , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[10]  Luis Romeral,et al.  Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition , 2008, IEEE Transactions on Industrial Electronics.

[11]  H. Douglas,et al.  A new algorithm for transient motor current signature analysis using wavelets , 2004, IEEE Transactions on Industry Applications.

[12]  Guillermo Rubén Bossio.  Modelado de las irregularidades del motor de inducción , 2004 .

[13]  Gerardo Gabriel Acosta,et al.  Fault Detection and Diagnosis Techniques in Induction Electrical Machines , 2007, IEEE Latin America Transactions.

[14]  Robert X. Gao,et al.  Base Wavelet Selection for Bearing Vibration Signal Analysis , 2009, Int. J. Wavelets Multiresolution Inf. Process..

[15]  Konstantinos Gryllias,et al.  A Peak Energy Criterion (P. E.) for the Selection of Resonance Bands in Complex Shifted Morlet Wavelet (Csmw) Based Demodulation of Defective Rolling Element Bearings Vibration Response , 2009, Int. J. Wavelets Multiresolution Inf. Process..

[16]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  E. F. Fuchs,et al.  Optimal placement of the run capacitor in single-phase induction motor designs , 1988 .

[18]  A.J. Marques Cardoso,et al.  Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach , 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).