N. Martin, KAStrion project: a new concept for the condition monitoring of wind turbines, Twelfth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2015, pp.9-11, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01166347

R. B. Randall and J. Antoni, Rolling element bearing diagnostics-a tutorial, Mechanical Systems and Signal Processing, vol.25, pp.485-520, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01018742

M. Firla, Automatic signal processing for wind turbine condition monitoring, PhD. Univ. Grenoble Alpes, 2016.
URL : https://hal.archives-ouvertes.fr/tel-01282130

M. Blödt, P. Granjon, B. Raison, and G. Rostaing, Models for bearing damage detection in induction motors using stator current monitoring, IEEE Transactions on Industrial Electronics, vol.55, issue.4, pp.1813-1822, 2008.

M. Blödt, P. Granjon, B. Raison, and J. Régnier, Mechanical fault detection in induction motor drives through stator current monitoring-theory and application examples, Fault Detection, 2010.

P. D. Welch, The use of the fast Fourier transform for the estiation of power spectra: a method based on time averaging over short modified periodograms, IEEE Transactions on Audio and Electroacoustics, vol.15, issue.2, pp.70-73, 1967.

G. Cablea, P. Granjon, and C. Bérenguer, Three-phase electrical signals analysis for mechanical faults monitoring in rotating machine systems, Mechanical Systems and Signal Processing, vol.92, pp.278-292, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01473564

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

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.

P. D. Mcfadden and J. D. Smith, Model for the vibration produced by a single point defect in a rolling element bearing, Journal of Sound and Vibration, vol.96, issue.1, pp.69-82, 1984.

J. Antoni and R. B. Randall, The relationship between the spectral correlation and envelope analysis in the diagnostic of bearing faults and other cyclostationary machine signals, Mechanical Systems and Signal Processing, vol.15, issue.5, pp.945-962, 2001.

J. Antoni and R. B. Randall, A stochastic model for simulation and diagnostics of rolling element bearings with localized faults, Journal of Sound and Vibration, vol.125, pp.282-289, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01714459