Kamal Medjaher
Kamal Medjaher
Full Professor, ENIT Tarbes, Université Fédérale Toulouse Midi-Pyrénées
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
A new dynamic predictive maintenance framework using deep learning for failure prognostics
KTP Nguyen, K Medjaher
Reliability Engineering & System Safety 188, 251-262, 2019
Diagnostic bond graphs for online fault detection and isolation
AK Samantaray, K Medjaher, BO Bouamama, M Staroswiecki, ...
Simulation Modelling Practice and Theory 14 (3), 237-262, 2006
From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics
R Gouriveau, K Medjaher, N Zerhouni
John Wiley & Sons, 2016
Supervision of an industrial steam generator. Part I: Bond graph modelling
BO Bouamama, K Medjaher, AK Samantaray, M Staroswiecki
Control Engineering Practice 14 (1), 71-83, 2006
Feature evaluation for effective bearing prognostics
F Camci, K Medjaher, N Zerhouni, P Nectoux
Quality and reliability engineering international 29 (4), 477-486, 2013
Fault detection and isolation of smart actuators using bond graphs and external models
BO Bouamama, K Medjaher, M Bayart, AK Samantaray, B Conrard
Control engineering practice 13 (2), 159-175, 2005
Model builder using functional and bond graph tools for FDI design
BO Bouamama, AK Samantaray, K Medjaher, M Staroswiecki, ...
Control Engineering Practice 13 (7), 875-891, 2005
Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data
K Medjaher, N Zerhouni, J Baklouti
2013 European Control Conference (ECC), 1451-1456, 2013
Hidden Markov models for failure diagnostic and prognostic
DA Tobon-Mejia, K Medjaher, N Zerhouni, G Tripot
2011 Prognostics and System Health Managment Confernece, 1-8, 2011
Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals
M Soualhi, KTP Nguyen, A Soualhi, K Medjaher, KE Hemsas
Measurement 141, 37-51, 2019
Railway point machine prognostics based on feature fusion and health state assessment
V Atamuradov, K Medjaher, F Camci, P Dersin, N Zerhouni
IEEE Transactions on Instrumentation and Measurement 68 (8), 2691-2704, 2018
The system can't perform the operation now. Try again later.
Articles 1–20