B. Lu, Y. Li, X. Wu, and Z. Yang, A review of recent advances in wind turbine condition monitoring and fault diagnosis, 2009 IEEE Power Electronics and Machines in Wind Applications
DOI : 10.1109/PEMWA.2009.5208325

P. F. Márquez, A. M. Tobias, M. J. Pérez, and M. Papaelias, Condition monitoring of wind turbines: Techniques and methods, Renewable Energy, vol.46, pp.169-178, 2012.
DOI : 10.1016/j.renene.2012.03.003

Z. Li, T. Gerber, M. Firla, P. Bellemain, and N. Martin, AStrion strategy: from acquisition to diagnosis. Application to wind turbine monitoring, Twelve International Conference on Condition Monitoring and Machinery Failure Prevention Technologies. CM 2015, 2015.
DOI : 10.1784/insi.2015.57.8.442
URL : https://hal.archives-ouvertes.fr/hal-01166365

N. Martin, KAStrion project: a new concept for the condition monitoring of wind turbines, Twelve International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01166347

G. Song, Z. Li, P. Bellemain, N. Martin, and C. Mailhes, AStrion data validation of non-stationary wind turbine signals Topic: Condition monitoring (CM) methods and technologies, Twelve International Conference on Condition Monitoring and Machinery Failure Prevention Technologies. CM 2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01166419

M. Sanquer, Detection and characterisation of transient signals Applications to the monitoring of electrical load curves'. Joint supervision with Florent Chatelain, MC INPG. and M. El-guedri, 2013.

N. Martin and C. Mailhes, A non-stationary index resulting from time and frequency domains'. Sixth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies. CM, pp.23-25, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00381420

M. Firla, Current and vibration analysis for a preventive condition monitoring. A specific approach for offshore wind farms'. European Project KAStrion, 2016.