A new algorithm for transient motor current signature analysis using wavelets

A new algorithm is introduced for motor current signature analysis of induction machines operating during transients. The algorithm is able to extract the amplitude, phase and frequency of a single sinusoid embedded in a nonstationary waveform. The algorithm is applied to the detection of broken rotor bars in induction machines during startup transients. The fundamental component of current, which varies in amplitude, phase, and frequency, is extracted using the algorithm. The residual current is then analyzed using wavelets for the detection of broken rotor bars. This method of condition monitoring does not require parameters such as speed or number of rotor bars, is not load dependent and can be applied to motors that operate continuously in the transient mode, e.g., wind generators or motor-operated valves.

[1]  Hamid A. Toliyat,et al.  Pattern recognition-a technique for induction machines rotor fault detection "broken bar fault" , 2001, IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No.01EX485).

[2]  Pragasen Pillay,et al.  Motor current signature analysis , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[3]  W. T. Thomson,et al.  Fault detection in induction motors as a result of transient analysis , 1989 .

[4]  M. E. H. Benbouzid,et al.  What Stator Current Processing Based Technique to Use for Induction Motor Rotor Faults Diagnosis , 2002, IEEE Power Engineering Review.

[5]  S. Santoso,et al.  Power quality assessment via wavelet transform analysis , 1996 .

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

[7]  Mohamed El Hachemi Benbouzid.  A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..

[8]  Paulo F. Ribeiro,et al.  Exploring the power of wavelet analysis , 1996 .

[9]  M. Karimi-Ghartemani,et al.  Periodic orbit analysis of two dynamical systems for electrical engineering applications , 2003 .

[10]  F. Filippetti,et al.  AI techniques in induction machines diagnosis including the speed ripple effect , 1996 .

[11]  Hamid A. Toliyat,et al.  Condition monitoring and fault diagnosis of electrical machines-a review , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[12]  S. L. Ho,et al.  Application of statistical signal processing for condition monitoring of rotor faults in induction motor , 1993 .

[13]  Ronald W. Schafer,et al.  Design and simulation of a speech analysis-synthesis system based on short-time Fourier analysis , 1973 .

[14]  Mohamed Benbouzid,et al.  Induction motors' faults detection and localization using stator current advanced signal processing techniques , 1999 .

[15]  Chien-Hsing Lee,et al.  Wavelet-based transient analysis , 1998 .

[16]  Mohamed Benbouzid,et al.  Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach , 2000 .

[17]  Alireza K. Ziarani,et al.  A nonlinear adaptive method of elimination of power line interference in ECG signals , 2002, IEEE Transactions on Biomedical Engineering.

[18]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[19]  O. Rioul,et al.  Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.

[20]  E. S. Saraiva,et al.  Computer aided detection of airgap eccentricity in operating three-phase induction motors, by Park's vector approach , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[21]  Chien-Hsing Lee,et al.  An alternative method for transient analysis via wavelets , 2000 .

[22]  Magdy M. A. Salama,et al.  Wavelet-based signal processing for disturbance classification and measurement , 2002 .

[23]  P. Pillay,et al.  Application of wavelets to model short-term power system disturbances , 1996 .

[24]  Octavia Camps,et al.  Wavelets and power system transients: feature detection and classification , 1994, Defense, Security, and Sensing.

[25]  I. Daubechies.  Orthonormal bases of compactly supported wavelets , 1988 .

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