Incipient Bearing Fault Detection via Stator Current Noise Cancellation using Wiener Filter

Current-based monitoring can offer significant economic savings and implementation advantages over traditional vibration monitoring for bearing fault detection. A key issue in current-based bearing fault detection is to extract bearing fault signature from motor stator current. In this paper bearing fault signature in motor stator current is detected by estimating and removing non-bearing fault components via a noise cancellation method. In this method, the components of the stator current that are not related to bearing faults are regarded as noise and are estimated by a Wiener filter. These noise components are then cancelled by their estimates in a real time fashion and a fault indicator is established based on the remaining components that are related to bearing faults. Machine parameters, bearing dimensions, nameplate values, or stator current spectrum distributions are not required in the method. The results of on-line experiments with a 20-horsepower induction motor have verified the effectiveness of this method.

[1]  Bong-Hwan Kwon,et al.  Online Diagnosis of Induction Motors Using MCSA , 2006, IEEE Transactions on Industrial Electronics.

[2]  Thomas G. Habetler,et al.  An amplitude Modulation detector for fault diagnosis in rolling element bearings , 2004, IEEE Transactions on Industrial Electronics.

[3]  Thomas G. Habetler,et al.  Sensorless speed measurement using current harmonic spectral estimation in induction machine drives , 1994 .

[4]  Alexander G. Parlos,et al.  Sensorless fault diagnosis of induction motors , 2003, IEEE Trans. Ind. Electron..

[5]  Thomas G. Habetler,et al.  Bearing fault detection via autoregressive stator current modeling , 2003 .

[6]  S. J. Yang,et al.  Low-Noise Electrical Motors , 1981 .

[7]  Hamid A. Toliyat,et al.  Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis , 2008, IEEE Transactions on Industrial Electronics.

[8]  Michael J. Devaney,et al.  Bearing damage detection via wavelet packet decomposition of the stator current , 2004, IEEE Transactions on Instrumentation and Measurement.

[9]  T.G. Habetler,et al.  Experimentally generating faults in rolling element bearings via shaft current , 2005, IEEE Transactions on Industry Applications.

[10]  Makarand Sudhakar Ballal,et al.  Adaptive Neural Fuzzy Inference System for the Detection of Inter-Turn Insulation and Bearing Wear Faults in Induction Motor , 2007, IEEE Transactions on Industrial Electronics.

[11]  T.G. Habetler,et al.  Fault classification and fault signature production for rolling element bearings in electric machines , 2004, IEEE Transactions on Industry Applications.

[12]  Tommy W. S. Chow,et al.  Induction machine fault diagnostic analysis with wavelet technique , 2004, IEEE Transactions on Industrial Electronics.

[13]  Thomas G. Habetler,et al.  Effects of time-varying loads on rotor fault detection in induction machines , 1993 .

[14]  Tommy W. S. Chow,et al.  Induction machine fault detection using SOM-based RBF neural networks , 2004, IEEE Transactions on Industrial Electronics.

[15]  Bertrand Raison,et al.  Models for bearing damage detection in induction motors using stator current monitoring , 2008, 2004 IEEE International Symposium on Industrial Electronics.

[16]  A.M. Knight,et al.  Mechanical fault detection in a medium-sized induction motor using stator current monitoring , 2005, IEEE Transactions on Energy Conversion.

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

[18]  T.G. Habetler,et al.  Motor bearing damage detection using stator current monitoring , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.

[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]  Wei Zhou,et al.  Bearing Fault Detection Via Stator Current Noise Cancellation and Statistical Control , 2008, IEEE Transactions on Industrial Electronics.

[21]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

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