Use of high order harmonics for diagnosis of simultaneous faults via Wigner-Ville distributions

In this paper, high-order fault-related current harmonics are used for the diagnosis and discrimination between two different faults in induction machines: rotor asymmetries and mixed eccentricities, both when only these faults are simultaneously present in the machine and when they are combined with other non-fault related phenomena. The idea is to track the evolutions of both the high-order fault-related harmonics and the low-frequency ones during the startup transient, making use of suitable time-frequency decomposition tools. In this work, a Wigner-Ville Distribution (WVD)-based method is proposed, since this is a tool showing a good trade-off between frequency resolutions at high and low frequencies, despite other Time Frequency Decomposition (TFD) tools could be also valid. As stated by several authors, use of high-order harmonics can provide very useful information for the diagnosis, mainly in those cases in which the only identification of low-frequency fault-related components might be not enough conclusive (presence of inter-bar currents, effect of load torque oscillations, etc…). In the paper, several cases corresponding to single and combined faults are presented. Simulated and experimental results show the ability of the tool for tracking those fault-related components, enabling the diagnosis of the aforementioned faults, even when these faults are combined or coexist with other phenomena which could interfere the diagnosis, such as pulsating load torques.

[1]  David G. Dorrell,et al.  Analysis of airgap flux, current and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[2]  Antero Arkkio,et al.  Detection of combined faults in induction machines with stator parallel branches through the DWT of the startup current , 2009 .

[3]  Khaled H. Hamed,et al.  Time-frequency analysis , 2003 .

[4]  Shahin Hedayati Kia,et al.  A High-Resolution Frequency Estimation Method for Three-Phase Induction Machine Fault Detection , 2007, IEEE Transactions on Industrial Electronics.

[5]  P. Tse,et al.  A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing , 2005 .

[6]  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.

[7]  Antero Arkkio,et al.  Analysis of induction motors based on the numerical solution of the magnetic field and circuit equations , 1987 .

[8]  M. Pineda-Sanchez,et al.  Application of TFD tools for the tracing of eccentricity-related components in induction machines , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[9]  Antero Arkkio,et al.  DWT analysis of numerical and experimental data for the diagnosis of dynamic eccentricities in induction motors , 2007 .

[10]  Jose A. Antonino-Daviu,et al.  A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform , 2008, IEEE Transactions on Industrial Electronics.

[11]  David Bonacci,et al.  On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution , 2008, IEEE Transactions on Industrial Electronics.

[12]  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).

[13]  J. Rosero,et al.  Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD) , 2008, 2008 Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition.

[14]  J.F. Watson,et al.  Improved techniques for rotor fault detection in three-phase induction motors , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[15]  H.A. Toliyat,et al.  Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review , 2005, IEEE Transactions on Energy Conversion.

[16]  Fiorenzo Filippetti,et al.  Recent developments of induction motor drives fault diagnosis using AI techniques , 2000, IEEE Trans. Ind. Electron..

[17]  Wenying Huang,et al.  A novel detection method of motor broken rotor bars based on wavelet ridge , 2003 .

[18]  T.G. Habetler,et al.  Detection of Rotor Faults in Brushless DC Motors Operating Under Nonstationary Conditions , 2006, IEEE Transactions on Industry Applications.

[19]  P. Garcia,et al.  Broken Rotor Bar Detection in Line-Fed Induction Machines Using Complex Wavelet Analysis of Startup Transients , 2007, 2007 IEEE Industry Applications Annual Meeting.

[20]  Manés Fernández Cabanas Maintenance and diagnostic techniques for rotating electric machinery , 1999 .

[21]  H. Douglas,et al.  Broken rotor bar detection in induction machines with transient operating speeds , 2005, IEEE Transactions on Energy Conversion.

[22]  M. Riera-Guasp,et al.  Diagnosis of stator short-circuits through Wigner-Ville transient-based analysis , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[23]  P. Gonçalves,et al.  Time - frequency toolbox for use with MATHLAB , 1997 .

[24]  A. Khezzar,et al.  Analytical investigation of rotor slot harmonics in a three phase induction motor with broken rotor bars , 2005, 2005 European Conference on Power Electronics and Applications.

[25]  Thomas G. Habetler,et al.  Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[26]  Antero Arkkio,et al.  Numerical magnetic field analysis and signal processing for fault diagnostics of electrical machines , 2003 .

[27]  Zhe Zhang,et al.  Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors , 2004 .

[28]  M. Riera-Guasp,et al.  A Critical Comparison Between DWT and Hilbert–Huang-Based Methods for the Diagnosis of Rotor Bar Failures in Induction Machines , 2009, IEEE Transactions on Industry Applications.