Local Fusion of an Ensemble of Models for the Reconstruction of Faulty Signals, IEEE Transactions on Nuclear Science, vol.57, issue.2, pp.793-806, 2010. ,
DOI : 10.1109/TNS.2010.2042968
URL : https://hal.archives-ouvertes.fr/hal-00609155
Maintenance policy performance assessment in presence of imprecision based on Dempster???Shafer Theory of Evidence, Information Sciences, vol.245, pp.112-131, 2013. ,
DOI : 10.1016/j.ins.2012.11.003
URL : https://hal.archives-ouvertes.fr/hal-00757462
A belief function theory method for prognostics in clogging filters, Chemical Engineering Transactions, vol.33, pp.847-852, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00926991
Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data, Reliability Engineering & System Safety, vol.112, pp.94-108, 2013. ,
DOI : 10.1016/j.ress.2012.12.004
URL : https://hal.archives-ouvertes.fr/hal-00934547
A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis, Risk Analysis, vol.8, issue.4, pp.1309-1325, 2008. ,
DOI : 10.1111/j.1539-6924.2008.01085.x
A Comparison Between Probabilistic and Dempster-Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories, Risk Analysis, vol.18, issue.1, pp.1139-1156, 2010. ,
DOI : 10.1111/j.1539-6924.2010.01416.x
URL : https://hal.archives-ouvertes.fr/hal-00610490
Two novel procedures for aggregating randomized model ensemble outcomes for robust signal reconstruction in nuclear power plants monitoring systems, Annals of Nuclear Energy, vol.38, issue.2-3, pp.2-3, 2011. ,
DOI : 10.1016/j.anucene.2010.11.007
URL : https://hal.archives-ouvertes.fr/hal-00609545
A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression, Progress in Nuclear Energy, vol.78, 2013. ,
DOI : 10.1016/j.pnucene.2014.08.006
URL : https://hal.archives-ouvertes.fr/hal-01340423
Ensemble of Neural Networks for Predicting Scale Deposition in Oil Well Plants Equipments, PSAM 11 & ESREL 2012 Conference, Joint Probabilistic Safety Assessment and Management Conference and European Safety and Reliability Conference, pp.25-29, 2012. ,
Health assessment and life prediction of cutting tools based on support vector regression, Journal of Intelligent Manufacturing, vol.11, issue.5, 2013. ,
DOI : 10.1007/s10845-013-0774-6
URL : https://hal.archives-ouvertes.fr/hal-00867582
Fast meta-models for local fusion of multiple predictive models, Applied Soft Computing, vol.11, issue.2, pp.1529-1539, 2008. ,
DOI : 10.1016/j.asoc.2008.03.006
Aggregating probability distributions In Advances in Decision Analysis: from Foundations to Applications, pp.154-176, 2007. ,
Clogging of fibre filters by submicron droplets. Phenomena and influence of operating conditions, Journal of Aerosol Science, vol.35, issue.2, pp.263-278, 2004. ,
DOI : 10.1016/j.jaerosci.2003.07.003
Upper and lower probabilities induced by a multivariate mapping, Annals of Mathematical Statistics AMS, pp.325-339, 1976. ,
A Comparison of Three Data-Driven Techniques for Prognostics, proc. of the 62nd Meeting of the Society For Machinery Failure Prevention Technology (MFPT), 2008. ,
A review on degradation models in reliability analysis, Proceedings of the 4th World Congress on Engineering Asset Management, pp.28-30, 2009. ,
DOI : 10.1007/978-0-85729-320-6_42
Alternative representations of epistemic uncertainty. Special Issue of Reliability Engineering and System Safety, pp.1-10, 2004. ,
Intelligent prognostics tools and e-maintenance, Computers in Industry, vol.57, issue.6, pp.476-489, 2006. ,
DOI : 10.1016/j.compind.2006.02.014
The modeling method on failure prognostics uncertainties in maintenance policy decision process, The Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety, pp.12-15, 2011. ,
DOI : 10.1109/ICRMS.2011.5979378
Introduction to Gaussian processes, Neural networks and machine learning, pp.133-165, 1998. ,
Objectively identifying landmark use and predicting flight trajectories of the homing pigeon using Gaussian processes, Journal of The Royal Society Interface, vol.239, issue.1, pp.210-219, 2011. ,
DOI : 10.1016/j.jtbi.2005.07.013
Maintenance Policies for Stochastically Failing Equipment: A Survey, Management Science, vol.11, issue.5, pp.493-524, 1965. ,
DOI : 10.1287/mnsc.11.5.493
Definitions of terms for reliability and maintainability. United States?department of defense Bayesian Statistic Based Multivariate Gaussian Process Approach for Offline/Online Fatigue Crack Growth Prediction, Experimental Mechanics, vol.24, issue.51, pp.833-843, 1981. ,
Data-driven prognostic method based on Bayesian approaches for??direct remaining useful life prediction, Journal of Intelligent Manufacturing, vol.24, issue.6, 2014. ,
DOI : 10.1007/s10845-012-0657-2
URL : https://hal.archives-ouvertes.fr/hal-01025442
Condition-Based Maintenance (CBM) ? filter clogging at OKG 1, a case study, p.961, 2009. ,
Nonparametric regression analysis of uncertain and imprecise data using belief functions, International Journal of Approximate Reasoning, vol.35, issue.1, pp.1-28, 2004. ,
DOI : 10.1016/S0888-613X(03)00056-2
Ensemble based systems in decision making, IEEE Circuits and Systems Magazine, vol.6, issue.3, pp.21-45, 2006. ,
DOI : 10.1109/MCAS.2006.1688199
Bootstrap Inspired Techniques in Computational Intelligence, IEEE Signal Processing Magazine, vol.24, issue.4, pp.56-72, 2007. ,
Gaussian Processes in Machine Learning, 2006. ,
DOI : 10.1162/089976602317250933
Belief function theory on the continuous space with an application to model based classification, IPMU (Ed.), Information Processing and Management of Uncertainty, pp.1119-1126, 2004. ,
DOI : 10.1016/B978-044452075-3/50002-9
Decision making under interval probabilities, International Journal of Approximate Reasoning, vol.22, issue.3, pp.195-215, 1999. ,
DOI : 10.1016/S0888-613X(99)00028-6
URL : http://doi.org/10.1016/s0888-613x(99)00028-6
A Survey of Artificial Intelligence for Prognostics. Association for the Advancement of Artificial Intelligence Fall Symposium, pp.9-11, 2007. ,
A mathematical theory of evidence, 1976. ,
The Transferable Belief Model for Quantified Belief Representation, Handbook of Defeasible Reasoning and Uncertainty Management Systems, pp.267-301, 1998. ,
DOI : 10.1007/978-94-017-1735-9_9
Belief functions on real numbers, International Journal of Approximate Reasoning, vol.40, issue.3, pp.181-223, 2005. ,
DOI : 10.1016/j.ijar.2005.04.001
Experimental study of filter clogging with monodisperse PSL particles, Powder Technology, vol.163, issue.3, pp.152-159, 2006. ,
DOI : 10.1016/j.powtec.2006.01.016
Vachtsevanos G. Methodologies for Uncertainty Management in Prognostics, Proc IEEE Aerosp Conf, 2009. ,
Sparse Bayesian Learning and the Relevance Vector Machine, Journal of Machine Learning Research, vol.1, pp.211-244, 2001. ,
On the dempster-shafer framework and new combination rules, Information Sciences, vol.41, issue.2, pp.93-137, 1987. ,
DOI : 10.1016/0020-0255(87)90007-7
A new combination of evidence based on compromise, Fuzzy Sets and Systems, pp.1689-1708, 2008. ,
Fault prognosis using dynamic wavelet neural networks, 2001 IEEE Autotestcon Proceedings. IEEE Systems Readiness Technology Conference. (Cat. No.01CH37237), pp.857-870, 2001. ,
DOI : 10.1109/AUTEST.2001.949467
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.1308
A model for residual life prediction based on Brownian motion with an adaptive drift, Microelectronics Reliability, pp.51-285, 2011. ,
A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems, 2008 International Conference on Prognostics and Health Management, 2008. ,
DOI : 10.1109/PHM.2008.4711421
On the fusion of imprecise uncertainty measures using belief structures, Information Sciences, vol.181, issue.15, pp.3199-3209, 2011. ,
DOI : 10.1016/j.ins.2011.02.010
A dynamic particle filter-support vector regression method for reliability prediction, Reliability Engineering & System Safety, vol.119, pp.109-116, 2013. ,
Predictive maintenance policy based on process data, Chemometrics and Intelligent Laboratory Systems, vol.103, issue.2, pp.137-143, 2010. ,
DOI : 10.1016/j.chemolab.2010.06.009
Evaluating maintenance policies by quantitative modeling and analysis, Reliability Engineering & System Safety, vol.109, pp.53-65, 2010. ,
DOI : 10.1016/j.ress.2012.08.002
URL : https://hal.archives-ouvertes.fr/hal-00734272
A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system, Reliability Engineering & System Safety, vol.95, issue.1, pp.49-57, 2010. ,
DOI : 10.1016/j.ress.2009.08.001