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, ...
3382012
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
2962014
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
2802012
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
2542012
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 (2), 213-223, 2015
2022015
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
1912013
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
1872012
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
1682014
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 (5), 1037-1048, 2016
1662016
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
1562014
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
1512016
PROTEUS—Creating distributed maintenance systems through an integration platform
T Bangemann, X Rebeuf, D Reboul, A Schulze, J Szymanski, ...
Computers in industry 57 (6), 539-551, 2006
1382006
Recurrent radial basis function network for time-series prediction
R Zemouri, D Racoceanu, N Zerhouni
Engineering Applications of Artificial Intelligence 16 (5-6), 453-463, 2003
1382003
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
1302013
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
1282016
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
1222009
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
1022016
Feature evaluation for effective bearing prognostics
F Camci, K Medjaher, N Zerhouni, P Nectoux
Quality and reliability engineering international 29 (4), 477-486, 2013
902013
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
882015
Joint prediction of continuous and discrete states in time-series based on belief functions
E Ramasso, M Rombaut, N Zerhouni
IEEE transactions on cybernetics 43 (1), 37-50, 2012
792012
The system can't perform the operation now. Try again later.
Articles 1–20