M. Basseville and I. V. Nikiforov, Detection of abrupt changes: theory and application, 1993.
URL : https://hal.archives-ouvertes.fr/hal-00008518

B. Boashash, Time-frequency signal analysis and processing -A comprehensive reference, 2003.

D. R. Brillinger, Time series: Data Analysis and Theory, 1981.
DOI : 10.1137/1.9780898719246

D. A. Clifton, N. Mcgrogan, L. Tarassenko, S. King, P. Anuzis et al., Bayesian Extreme Value Statistics for Novelty Detection in Gas-Turbine Engines, 2008 IEEE Aerospace Conference, pp.1-11, 2008.
DOI : 10.1109/AERO.2008.4526423

D. A. Clifton and L. Tarassenko, Novelty detection in jet engine vibration spectra. IET Condition Monitoring, 2009.

K. R. Fyfe and E. D. Munck, ANALYSIS OF COMPUTED ORDER TRACKING, Mechanical Systems and Signal Processing, vol.11, issue.2, pp.187-205, 1997.
DOI : 10.1006/mssp.1996.0056

J. Gertler, Fault detection and diagnosis in engineering systems, 1998.

T. Hastie and R. Tibshirani, Generalized Additive Models, 1990.

L. C. Jaw and J. D. Mattingly, Aircraft Engine Controls: Design, System Analysis, and Health Monitoring, 2009.
DOI : 10.2514/4.867057

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

V. Kharyton, Fault detection of blades in blades of an aviation engines in operation, 2009.

L. Ljung, System identification: Theory for the User, 1999.

R. H. Lyon, Machinery Noise and Diagnostics, Journal of Vibration Acoustics Stress and Reliability in Design, vol.111, issue.4, 1987.
DOI : 10.1115/1.3269892

S. Maia, Theoretical and experimental modal analysis, 1998.

S. Mallat, Une exploration des signaux en ondelettes. Publications Ecole Polytechnique, 2000.

R. F. Orsagh, J. Sheldon, and C. J. Klenke, Prognostics/diagnostics for gas turbine engine bearings, Proceedings of IEEE Aerospace Conference, 2003.

Z. K. Peng and F. L. Chu, Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography, Mechanical Systems and Signal Processing, vol.18, issue.2, pp.199-221, 2004.
DOI : 10.1016/S0888-3270(03)00075-X

Z. K. Peng, F. L. Chu, and P. W. Tse, Detection of the rubbing-caused impacts for rotor???stator fault diagnosis using reassigned scalogram, Mechanical Systems and Signal Processing, vol.19, issue.2, pp.391-409, 2005.
DOI : 10.1016/j.ymssp.2003.09.007

R. Pintelon and J. Schoukens, System Identification: a frequency-domain approach, 2001.

R. Pintelon, J. Schoukens, G. Vandersteen, and K. Barbé, Estimation of nonparametric noise and FRF models for multivariable systems???Part I: Theory, Mechanical Systems and Signal Processing, vol.24, issue.3, pp.573-595, 2010.
DOI : 10.1016/j.ymssp.2009.08.009

H. Poor, An introduction to signal detection and estimation 2nd ed, 1994.
DOI : 10.1007/978-1-4757-2341-0

R. Potter and M. Gribler, Computed Order Tracking Obsoletes Older Methods, SAE Technical Paper Series, pp.63-67, 1989.
DOI : 10.4271/891131

C. E. Rasmussen and C. Williams, Gaussian Processes in Machine Learning, 2006.
DOI : 10.1162/089976602317250933

J. Schoukens and J. Renneboog, Modeling the noise influence on the Fourier coefficients after a discrete Fourier transform, IEEE Transactions on Instrumentation and Measurement, vol.35, issue.3, pp.278-286, 1986.
DOI : 10.1109/TIM.1986.6499210

I. Tumer and A. Bajwa, A survey of aircraft engine health monitoring systems, 35th Joint Propulsion Conference and Exhibit, 1999.
DOI : 10.2514/6.1999-2528

P. Verboven, Frequency-domain system identification for modal analysis, 2002.

W. Q. Wang, F. Ismail, and M. F. Golnaraghi, ASSESSMENT OF GEAR DAMAGE MONITORING TECHNIQUES USING VIBRATION MEASUREMENTS, Mechanical Systems and Signal Processing, vol.15, issue.5, pp.905-922, 2001.
DOI : 10.1006/mssp.2001.1392