Wavelet and PDD as fault detection techniques

Abstract Motor current signature analysis has been successfully used for fault diagnosis in induction machines. However, this method does not always achieve good results with variable load torque. This paper proposes a different signal processing method, which combines wavelet and power spectral density techniques giving the power detail density as a fault factor. The method shows good theoretical and experimental results.

[1]  Jong-Duk Son,et al.  Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal , 2008, Expert Syst. Appl..

[2]  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.

[3]  L. Eren,et al.  Detecting motor bearing faults , 2004, IEEE Instrumentation & Measurement Magazine.

[4]  Abdülkadir Çakır,et al.  Rotor bar fault diagnosis in three phase induction motors by monitoring fluctuations of motor current zero crossing instants , 2007 .

[5]  Humberto Henao,et al.  Induction machine fault detection using stray flux EMF measurement and neural network-based decision , 2008 .

[6]  W. T. Thomson,et al.  Vibration and current monitoring for detecting airgap eccentricity in large induction motors , 1986 .

[7]  Girish Kumar Singh,et al.  Induction machine drive condition monitoring and diagnostic research—a survey , 2003 .

[8]  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.

[9]  S. P. Valsan,et al.  Wavelet based transformer protection using high frequency power directional signals , 2008 .

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

[11]  W. T. Thomson,et al.  Case histories of current signature analysis to detect faults in induction motor drives , 2003, IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03..

[12]  Amiya R Mohanty,et al.  Monitoring gear vibrations through motor current signature analysis and wavelet transform , 2006 .

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

[14]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

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

[16]  Mo-Yuen Chow,et al.  Statistical analysis on a case study of load effect on PSD technique for induction motor broken rotor bar fault detection , 2003, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003..