A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.121-167, 1998. ,
DOI : 10.1023/A:1009715923555
Assessment of Statistical and Classification Models For Monitoring EDF's Assets, Sixth American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, 2009. ,
Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods, IEEE Transactions on Reliability, vol.62, issue.4, pp.833-845, 2013. ,
DOI : 10.1109/TR.2013.2285033
URL : https://hal.archives-ouvertes.fr/hal-00934649
Keynote paper: Fault diagnosis and neural networks: A power plant application, Control Engineering Practice, vol.3, issue.5, pp.601-620, 1995. ,
DOI : 10.1016/0967-0661(95)00037-U
Condition monitoring and fault detection of wind turbines and related algorithms: A review, Renewable and Sustainable Energy Reviews, vol.13, issue.1, pp.1-39, 2009. ,
DOI : 10.1016/j.rser.2007.05.008
Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis, International Journal of Automation and Computing, vol.53, issue.5, pp.149-155, 2007. ,
DOI : 10.1007/s11633-007-0149-6
Process and equipment monitoring methodologies applied to sensor calibration monitoring, Quality and Reliability Engineering International, vol.116, issue.1, pp.123-135, 2007. ,
DOI : 10.1002/qre.818
FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS, Mechanical Systems and Signal Processing, pp.373-390, 2002. ,
DOI : 10.1006/mssp.2001.1454
An introduction to kernel-based learning algorithms, IEEE Transactions on Neural Networks, vol.12, issue.2, pp.181-201, 2001. ,
DOI : 10.1109/72.914517
Real-time Nuclear Power Plant Monitoring with Neural Network, Journal of Nuclear Science and Technology, vol.1, issue.1, pp.93-100, 1998. ,
DOI : 10.1080/18811248.1998.9733829
A review of process fault detection and diagnosis, Computers & Chemical Engineering, vol.27, issue.3, pp.293-311, 2003. ,
DOI : 10.1016/S0098-1354(02)00160-6
A review of process fault detection and diagnosis, Computers & Chemical Engineering, vol.27, issue.3, pp.313-326, 2003. ,
DOI : 10.1016/S0098-1354(02)00161-8
A review of process fault detection and diagnosis, Computers & Chemical Engineering, vol.27, issue.3, pp.327-346, 2003. ,
DOI : 10.1016/S0098-1354(02)00162-X
Support vector machine in machine condition monitoring and fault diagnosis, Mechanical Systems and Signal Processing, pp.2560-2574, 2007. ,
DOI : 10.1016/j.ymssp.2006.12.007