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 | 1161 | 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 | 678 | 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 | 447 | 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 | 425 | 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 | 373 | 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 | 371 | 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 | 348 | 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 | 286 | 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 | 284 | 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 | 281 | 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 | 216 | 2006 |
From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics R Gouriveau, K Medjaher, N Zerhouni John Wiley & Sons, 2016 | 176 | 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 | 142 | 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 | 137 | 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 | 126 | 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 | 110 | 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 | 100 | 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 | 94 | 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 | 86 | 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 | 84 | 2018 |