A generic diagnosis protocol for the monitoring of induction motors based on multiple statistical references in the torque-speed plane
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Antoine Picot | Pascal Maussion | Jérémi Régnier | Jean-Marie Andrejak | Etienne Fournier | Mathias Tientcheu Yamdeu
[1] Baptiste Trajin,et al. Hilbert versus Concordia transform for three-phase machine stator current time-frequency monitoring , 2009 .
[2] R. Puche-Panadero,et al. Wigner-Ville distribution for the detection of high-order harmonics due to rotor asymmetries , 2009, 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.
[3] Olivier Darnis,et al. Statistic-based spectral indicator for bearing fault detection in permanent-magnet synchronous machines using the stator current , 2014 .
[4] Claude Delpha,et al. A global approach for the classification of bearing faults conditions using spectral features , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.
[5] L. Romeral,et al. Detection of Demagnetization Faults in Surface-Mounted Permanent Magnet Synchronous Motors by Means of the Zero-Sequence Voltage Component , 2012, IEEE Transactions on Energy Conversion.
[6] Wei Zhou,et al. Bearing Fault Detection Via Stator Current Noise Cancellation and Statistical Control , 2008, IEEE Transactions on Industrial Electronics.
[7] Wei Qiao,et al. Bearing Fault Diagnosis for Direct-Drive Wind Turbines via Current-Demodulated Signals , 2013, IEEE Transactions on Industrial Electronics.
[8] Guy Clerc,et al. Statistical and Neural-Network Approaches for the Classification of Induction Machine Faults Using the Ambiguity Plane Representation , 2013, IEEE Transactions on Industrial Electronics.
[9] Peter Tavner,et al. Review of condition monitoring of rotating electrical machines , 2008 .
[10] P. Maussion,et al. On the use of Spectral Kurtosis for diagnosis of electrical machines , 2013, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED).
[11] A. C. Smith,et al. Vibration monitoring for wound rotor induction machine winding fault detection , 2012, 2012 XXth International Conference on Electrical Machines.
[12] Lorand Szabo,et al. Diagnosis of rolling bearings faults in electric machines through stray magnetic flux monitoring , 2013, 2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).
[13] D. Casadei,et al. Flux signature analysis: An alternative method for the fault diagnosis of induction machines , 2005, 2005 IEEE Russia Power Tech.
[14] G. Clerc,et al. Long-term prediction of bearing condition by the neo-fuzzy neuron , 2013, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED).
[15] Kurosh Madani,et al. Extreme value statistics for vibration spectra outlier detection , 2012 .
[16] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[17] Shahin Hedayati Kia,et al. Gear tooth surface damage fault detection using induction machine electrical signature analysis , 2013, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED).
[18] Giansalvo Cirrincione,et al. Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks , 2013, IEEE Transactions on Industrial Electronics.
[19] Slim Tnani,et al. Application of the fourier and the wavelet transform for the fault detection in induction motors at the startup electromagnetic torque , 2011, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives.
[20] António J. Marques Cardoso,et al. Discriminating the Simultaneous Occurrence of Three-Phase Induction Motor Rotor Faults and Mechanical Load Oscillations by the Instantaneous Active and Reactive Power Media Signature Analyses , 2012, IEEE Transactions on Industrial Electronics.
[21] T. J. Sobczyk,et al. Motor current signature analysis apply for external mechanical fault and cage asymmetry in induction motors , 2013, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED).
[22] Nagarajan Murali,et al. Early Classification of Bearing Faults Using Morphological Operators and Fuzzy Inference , 2013, IEEE Transactions on Industrial Electronics.
[23] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[24] F. E. Grubbs. Procedures for Detecting Outlying Observations in Samples , 1969 .
[25] S. Poignant,et al. Experimental comparison between diagnostic indicators for bearing fault detection in synchronous machine by spectral Kurtosis and energy analysis , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.