Emmanuel Ramasso
Emmanuel Ramasso
Ass. Professor HDR, SUPMICROTECH-ENSMM and FEMTO-ST institute
Verified email at - Homepage
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
Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets
E Ramasso, A Saxena
International journal of prognostics and health management 5 (2), 1-15, 2014
Influence of moisture uptake on the static, cyclic and dynamic behaviour of unidirectional flax fibre-reinforced epoxy laminates
M Berges, R Léger, V Placet, V Person, S Corn, X Gabrion, J Rousseau, ...
Composites Part A: Applied Science and Manufacturing 88, 165-177, 2016
Segmentation and sampling of moving object trajectories based on representativeness
C Panagiotakis, N Pelekis, I Kopanakis, E Ramasso, Y Theodoridis
IEEE Transactions on Knowledge and Data Engineering 24 (7), 1328-1343, 2011
Investigating computational geometry for failure prognostics in presence of imprecise health indicator: Results and comparisons on c-mapss datasets
E Ramasso
Phm society european conference 2 (1), 2014
Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions
E Ramasso, M Rombaut, N Zerhouni
IEEE Transactions on Systems Man and Cybernetics part B, 2012
A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites
M Kharrat, E Ramasso, V Placet, ML Boubakar
Mechanical Systems and Signal Processing 70, 1038-1055, 2016
Making use of partial knowledge about hidden states in HMMs: an approach based on belief functions
E Ramasso, T Denoeux
Fuzzy Systems, IEEE Transactions on 22 (2), 395-405, 2014
Investigating Computational Geometry for Failure Prognostics.
E Ramasso
International Journal on Prognostics and Health Management 5 (1), 1-18, 2014
Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions
E Ramasso, R Gouriveau
IEEE Transactions On Reliability 63 (2), 555 - 566, 2014
Unsupervised consensus clustering of acoustic emission time-series for robust damage sequence estimation in composites
E Ramasso, V Placet, ML Boubakar
IEEE Transactions on Instrumentation and Measurement 64 (12), 3297-3307, 2015
Review and Analysis of Algorithmic Approaches Developed for Prognostics on CMAPSS Dataset
E Ramasso, A Saxena
Annual Conference of the PHM society 5 (63), 1-11, 2014
Prognostics in switching systems: Evidential Markovian classification of real-time neuro-fuzzy predictions
E Ramasso, R Gouriveau
2010 Prognostics and System Health Management Conference, 1-10, 2010
An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials
DD Doan, E Ramasso, V Placet, S Zhang, ML Boubakar, N Zerhouni
Mechanical Systems and Signal Processing, 2015
A deep reinforcement learning approach for early classification of time series
C Martinez, G Perrin, E Ramasso, M Rombaut
26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome …, 2018
About the fatigue endurance of unidirectional flax-epoxy composite laminates
T Jeannin, X Gabrion, E Ramasso, V Placet
Composites Part B: Engineering 165, 690-701, 2019
Influence of damage accumulation under fatigue loading on the AE-based health assessment of composite materials: Wave distortion and AE-features evolution as a function of …
M Kharrat, V Placet, E Ramasso, ML Boubakar
Composites Part A: Applied Science and Manufacturing 109, 615-627, 2018
Evidential evolving Gustafson–Kessel algorithm for online data streams partitioning using belief function theory
L Serir, E Ramasso, N Zerhouni
International journal of approximate reasoning 53 (5), 747-768, 2012
Contribution of belief functions to hidden Markov models with an application to fault diagnosis
E Ramasso
2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009
Human action recognition in videos based on the transferable belief model: application to athletics jumps
E Ramasso, C Panagiotakis, D Pellerin, M Rombaut
Pattern analysis and Applications 11, 1-19, 2008
The system can't perform the operation now. Try again later.
Articles 1–20