Supervision, fault-detection and fault-diagnosis methods ??? An introduction, Control Engineering Practice, vol.5, issue.5, pp.639-652, 1997. ,
DOI : 10.1016/S0967-0661(97)00046-4
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter, Technometrics, vol.5, issue.2, pp.215-223, 1979. ,
DOI : 10.1080/03610927508827223
Automatic Parameter Selection by Minimizing Estimated Error, Proceedings of the Twelfth International Conference on Machine Learning, pp.304-312, 1995. ,
DOI : 10.1016/B978-1-55860-377-6.50045-1
Automatic algorithm configuration based on local search, Proceedings of the National Conference on Artificial Intelligence, pp.1152-1160, 2007. ,
A model for parameter setting based on Bayesian networks, Engineering Applications of Artificial Intelligence, vol.21, issue.1, pp.14-25, 2008. ,
DOI : 10.1016/j.engappai.2007.02.013
The design and analysis of computer experiments, 2003. ,
DOI : 10.1007/978-1-4757-3799-8
Principles of geostatistics, Economic Geology, vol.58, issue.8, p.1246, 1963. ,
DOI : 10.2113/gsecongeo.58.8.1246
Prediction from wrong models: the Kriging approach, IEEE Antennas and Propagation Magazine, vol.38, issue.4, pp.35-45, 1996. ,
DOI : 10.1109/74.537364
Kriging metamodeling in simulation: A review, European Journal of Operational Research, vol.192, issue.3, pp.707-716, 2009. ,
DOI : 10.1016/j.ejor.2007.10.013
Computer Experiments and Global Optimization, 1997. ,
A taxonomy of global optimization methods based on response surfaces, Journal of Global Optimization, vol.21, issue.4, pp.345-383, 2001. ,
DOI : 10.1023/A:1012771025575
Efficient global optimization of expensive black-box functions, Journal of Global Optimization, vol.13, issue.4, pp.455-492, 1998. ,
DOI : 10.1023/A:1008306431147
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code, Technometrics, vol.21, issue.2, pp.239-245 ,
Flexibility and Efficiency Enhancements for Constrained Global Design Optimization with Kriging Approximations, 2002. ,
Lipschitzian optimization without the Lipschitz constant, Journal of Optimization Theory and Applications, vol.20, issue.1, pp.157-181, 1993. ,
DOI : 10.1007/BF00941892
The Three Sigma Rule, The American Statistician, vol.48, issue.2, 1994. ,
The probable error of a mean, Biometrika, vol.6, issue.1, pp.1-25, 1908. ,
On the Problem of the Most Efficient Tests of Statistical Hypotheses, Containing Papers of a Mathematical or Physical Character, pp.289-337, 1933. ,
DOI : 10.1098/rsta.1933.0009
Detection of Abrupt Changes: Theory and Application, 1993. ,
URL : https://hal.archives-ouvertes.fr/hal-00008518
Adaptive Filtering and Change Detection A randomised subsampling method for change detection, Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 2001. ,
Introduction to the DAMADICS actuator FDI benchmark study, Control Engineering Practice, vol.14, issue.6, pp.577-596, 2006. ,
DOI : 10.1016/j.conengprac.2005.06.015
An informational approach to the global optimization of expensive-to-evaluate functions, Journal of Global Optimization, vol.10, issue.5, pp.509-534, 2009. ,
DOI : 10.1007/s10898-008-9354-2
URL : https://hal.archives-ouvertes.fr/hal-00354262