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Said Noureddine ZERHOUNI
Said Noureddine ZERHOUNI
Professeur d'Automatique, ENSMM Besançon
Verified email at ens2m.fr
Title
Cited by
Cited by
Year
PRONOSTIA: An experimental platform for bearings accelerated degradation tests.
P Nectoux, R Gouriveau, K Medjaher, E Ramasso, B Chebel-Morello, ...
IEEE International Conference on Prognostics and Health Management, PHM'12., 1-8, 2012
10832012
Bearing health monitoring based on Hilbert–Huang transform, support vector machine, and regression
A Soualhi, K Medjaher, N Zerhouni
IEEE Transactions on instrumentation and measurement 64 (1), 52-62, 2014
6612014
A data-driven failure prognostics method based on mixture of Gaussians hidden Markov models
DA Tobon-Mejia, K Medjaher, N Zerhouni, G Tripot
IEEE Transactions on reliability 61 (2), 491-503, 2012
4382012
Health assessment and life prediction of cutting tools based on support vector regression
T Benkedjouh, K Medjaher, N Zerhouni, S Rechak
Journal of intelligent manufacturing 26, 213-223, 2015
4162015
Direct remaining useful life estimation based on support vector regression
R Khelif, B Chebel-Morello, S Malinowski, E Laajili, F Fnaiech, N Zerhouni
IEEE Transactions on industrial electronics 64 (3), 2276-2285, 2016
3872016
Remaining useful life estimation of critical components with application to bearings
K Medjaher, DA Tobon-Mejia, N Zerhouni
IEEE Transactions on Reliability 61 (2), 292-302, 2012
3692012
Remaining useful life estimation based on nonlinear feature reduction and support vector regression
T Benkedjouh, K Medjaher, N Zerhouni, S Rechak
Engineering Applications of Artificial Intelligence 26 (7), 1751-1760, 2013
3612013
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction
A Mosallam, K Medjaher, N Zerhouni
Journal of Intelligent Manufacturing 27, 1037-1048, 2016
3402016
Particle filter-based prognostics: Review, discussion and perspectives
M Jouin, R Gouriveau, D Hissel, MC Péra, N Zerhouni
Mechanical Systems and Signal Processing 72, 2-31, 2016
3322016
Enabling health monitoring approach based on vibration data for accurate prognostics
K Javed, R Gouriveau, N Zerhouni, P Nectoux
IEEE Transactions on industrial electronics 62 (1), 647-656, 2014
3262014
Prognostics of PEM fuel cell in a particle filtering framework
M Jouin, R Gouriveau, D Hissel, MC Péra, N Zerhouni
International Journal of Hydrogen Energy 39 (1), 481-494, 2014
2802014
CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks
DA Tobon-Mejia, K Medjaher, N Zerhouni
Mechanical Systems and Signal Processing 28, 167-182, 2012
2782012
Prognostics and health management for maintenance practitioners-Review, implementation and tools evaluation.
V Atamuradov, K Medjaher, P Dersin, B Lamoureux, N Zerhouni
International Journal of Prognostics and Health Management 8 (3), 1-31, 2017
2742017
Degradations analysis and aging modeling for health assessment and prognostics of PEMFC
M Jouin, R Gouriveau, D Hissel, MC Péra, N Zerhouni
Reliability Engineering & System Safety 148, 78-95, 2016
2732016
Prognostics and Health Management of PEMFC–State of the art and remaining challenges
M Jouin, R Gouriveau, D Hissel, MC Péra, N Zerhouni
International Journal of Hydrogen Energy 38 (35), 15307-15317, 2013
2352013
Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies
M Yue, S Jemei, R Gouriveau, N Zerhouni
International Journal of Hydrogen Energy 44 (13), 6844-6861, 2019
2282019
State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels
K Javed, R Gouriveau, N Zerhouni
Mechanical Systems and Signal Processing 94, 214-236, 2017
2212017
A new multivariate approach for prognostics based on extreme learning machine and fuzzy clustering
K Javed, R Gouriveau, N Zerhouni
IEEE transactions on cybernetics 45 (12), 2626-2639, 2015
1972015
Review of prognostic problem in condition-based maintenance
OE Dragomir, R Gouriveau, F Dragomir, E Minca, N Zerhouni
2009 European Control Conference (ECC), 1587-1592, 2009
1902009
Deep learning in the biomedical applications: Recent and future status
R Zemouri, N Zerhouni, D Racoceanu
Applied Sciences 9 (8), 1526, 2019
1792019
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