H. A. Toliyat, S. Nandi, S. Choi, and H. , Electric machines: modeling, condition monitoring, and fault diagnosis, 2013.
DOI : 10.1201/b13008

M. Blodt, J. Regnier, and J. Faucher, Distinguishing Load Torque Oscillations and Eccentricity Faults in Induction Motors Using Stator Current Wigner Distributions, IEEE Transactions on Industry Applications, vol.45, issue.6, pp.1991-2000, 2009.
DOI : 10.1109/TIA.2009.2031888

M. Blodt, P. Granjon, B. Raison, and J. Regnier, Mechanical Fault Detection in Induction Motor Drives through Stator Current Monitoring - Theory and Application Examples, Fault Detection , InTech, pp.451-487, 2010.
DOI : 10.5772/9072

URL : https://hal.archives-ouvertes.fr/hal-00485734

C. L. Fortescue, Method of symmetrical co-ordinates applied to the solution of polyphase networks, Transactions of the American Institute of Electrical Engineers XXXVII, issue.2, p.4765570, 1918.

E. Clarke, Circuit Analysis of A-C Power Systems, 1943.

G. C. Paap, Symmetrical components in the time domain and their application to power network calculations, IEEE Transactions on Power Systems, vol.15, issue.2, pp.522-528, 2000.
DOI : 10.1109/59.867135

J. L. Silva and A. J. Cardoso, Bearing failures diagnosis in three-phase induction motors by extended Park's vector approach, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., pp.6-10, 2005.
DOI : 10.1109/IECON.2005.1569315

E. Fournier, A. Picot, J. Regnier, M. T. Yamdeu, J. Andrejak et al., Current-Based Detection of Mechanical Unbalance in an Induction Machine Using Spectral Kurtosis With Reference, IEEE Transactions on Industrial Electronics, vol.62, issue.3, pp.2015-2018
DOI : 10.1109/TIE.2014.2341561

B. Trajin, M. Chabert, J. Regnier, and J. Faucher, Hilbert versus Concordia transform for three-phase machine stator current time-frequency monitoring, Mechanical Systems and Signal Processing, vol.23, issue.8, 2009.
DOI : 10.1016/j.ymssp.2009.05.015

Y. Amirat, V. Choqueuse, and M. E. Benbouzid, Wind turbines condition monitoring and fault diagnosis using generator current amplitude demodulation, 2010 IEEE International Energy Conference, pp.310-315, 2010.
DOI : 10.1109/ENERGYCON.2010.5771697

URL : https://hal.archives-ouvertes.fr/hal-00594531

V. Choqueuse, M. E. Benbouzid, Y. Amirat, and S. Turri, Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques, IEEE Transactions on Industrial Electronics, vol.59, issue.4
DOI : 10.1109/TIE.2011.2160138

URL : https://hal.archives-ouvertes.fr/hal-00654230

E. H. Bouchikhi, V. Choqueuse, M. Benbouzid, and J. A. Antonino-daviu, Stator current demodulation for induction machine rotor faults diagnosis, 2014 First International Conference on Green Energy ICGE 2014, pp.176-181, 2014.
DOI : 10.1109/ICGE.2014.6835418

URL : https://hal.archives-ouvertes.fr/hal-01015474

Y. Xia, S. Douglas, and D. Mandic, Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators, IEEE Signal Processing Magazine, vol.29, issue.5
DOI : 10.1109/MSP.2012.2183689

URL : http://spiral.imperial.ac.uk/bitstream/10044/1/15283/2/IEEE%20Signal%20Processing%20Magazine_29_5_2012.pdf

Y. Xia and D. P. Mandic, Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems, IEEE Transactions on Instrumentation and Measurement, vol.61, issue.1
DOI : 10.1109/TIM.2011.2159409

M. B. Bouzid and G. Champenois, New Expressions of Symmetrical Components of the Induction Motor Under Stator Faults, IEEE Transactions on Industrial Electronics, vol.60, issue.9
DOI : 10.1109/TIE.2012.2235392

W. V. Lyon, Transient Analysis of Alternating-current Machinery: An Application of Method of Symmetrical Components, Technology Press of Massachusetts Institute of Technology, 1954.

V. Choqueuse, E. Elbouchikhi, and M. Benbouzid, Maximum likelihood frequency estimation in smart grid applications, 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), pp.2015-1339
DOI : 10.1109/ISIE.2015.7281667

URL : https://hal.archives-ouvertes.fr/hal-01212112

B. Boashash, Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals, Proceedings of the IEEE, pp.520-538, 1992.
DOI : 10.1109/5.135376

M. Blodt, M. Chabert, J. Regnier, and J. Faucher, Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis, IEEE Transactions on Industry Applications, vol.42, issue.6, pp.1454-1463, 2006.
DOI : 10.1109/TIA.2006.882631

S. H. Kia, H. Henao, and G. A. Capolino, Efficient digital signal processing techniques for induction machines fault diagnosis, 2013 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), pp.232-246, 2013.
DOI : 10.1109/WEMDCD.2013.6525183

B. Picinbono, On instantaneous amplitude and phase of signals, IEEE Transactions on Signal Processing, vol.45, issue.3, 1997.
DOI : 10.1109/78.558469

A. Reilly, G. Frazer, and B. Boashash, Analytic signal generation-tips and traps, IEEE Transactions on Signal Processing, vol.42, issue.11, pp.3241-3245, 1994.
DOI : 10.1109/78.330385

URL : http://espace.library.uq.edu.au/collection/UQ:183940

G. Cablea, P. Granjon, C. Bérenguer, and P. Bellemain, Online condition monitoring of wind turbines through three-phase electrical signature analysis, CD proceedings of the Twelfth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 2015.
DOI : 10.1784/204764216819708087

URL : https://hal.archives-ouvertes.fr/hal-01258449

R. Puche-panadero, M. Pineda-sanchez, M. Riera-guasp, J. Roger-folch, E. Hurtado-perez et al., Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip, IEEE Transactions on Energy Conversion, vol.24, issue.1, pp.52-59, 2008.
DOI : 10.1109/TEC.2008.2003207

G. Cablea, P. Granjon, and C. Bérenguer, Method for computing efficient electrical indicators for offshore wind turbine monitoring, Insight -Non-Destructive Testing and Condition Monitoring
DOI : 10.1784/insi.2014.56.8.443

URL : https://hal.archives-ouvertes.fr/hal-00979124/document

S. M. Kay, Detection theory of Fundamentals of statistical signal processing, 1998.

N. Bédouin and S. Sieg-zieba, Endurance testing on a wind turbine test bench. A focus on slow rotating bearing monitoring, CD proceedings of the Twelfth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 2015.

G. Cablea, P. Granjon, and C. Bérenguer, Advances in Condition Monitoring of Machinery in Non- Stationary Operations: Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, Method of Analysing Non-stationary Electrical Signals, pp.15-17, 2014.