| Prognosis of Bearing Failures using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System A Soualhi, H Razik, G Clerc, DD Doan IEEE Transactions on Industrial Electronics 61 (6), 2864 - 2874, 2014 | 221 | 2014 |
| An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials DD Doan, E Ramasso, V Placet, S Zhang, L Boubakar, N Zerhouni Mechanical Systems and Signal Processing 64 (December), 465–478, 2015 | 66 | 2015 |
| An Unsupervised Pattern Recognition Approach for AE Data Originating from Fatigue Tests on Polymer-Composite Materials DD DOAN, E Ramasso, V Placet, L Boubakar, N Zerhouni EWSHM - 7th European Workshop on Structural Health Monitoring, Nantes, France, 2014 | 66 | 2014 |
| Application of an Unsupervised Pattern Recognition Approach for AE Data Originating from Fatigue Tests on CFRP DD DOAN, E RAMASSO, V PLACET, L BOUBAKAR, N ZERHOUNI EWGAE-31st EUROPEAN CONFERENCE ON ACOUSTIC EMISSION TESTING, Dresden, 2014 | 11 | 2014 |
| Reconnaissance des sources acoustiques dans les composites à matrice organique : quel(s) critère(s) utiliser pour une classification non-supervisée des signaux ? E Ramasso, X Gabrion, DD Doan, M Kharrat, V Placet, L Boubakar CFA-12e Congrès Français d'Acoustique, Poitiers, 2014 | 2 | 2014 |
| Towards a better lifetime prediction of composite structures under in-service conditions: Robust and real-time processing of Acoustic Emission time-series in presence of damage … M Kharrat, E Ramasso, DD DOAN, V Placet, L Boubakar 7th International Symposium on NDT in Aerospace, Bremen, Germany, 2015 | | 2015 |
