| 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, 2014 | 302 | 2014 |
| Nonparametric time series modelling for industrial prognostics and health management A Mosallam, K Medjaher, N Zerhouni The International Journal of Advanced Manufacturing Technology, 2013 | 62 | 2013 |
| Component based data-driven prognostics for complex systems: Methodology and applications A Mosallam, K Medjaher, N Zerhouni | 36 | 2016 |
| Bayesian Approach for Remaining Useful Life Prediction A Mosallam, K Medjaher, N Zerhouni Chemical Engineering Transactions 33, 139 - 144, 2013 | 36 | 2013 |
| Time series trending for condition assessment and prognostics A Mosallam, K Medjaher, N Zerhouni Journal of manufacturing technology management 25 (4), 550-567, 2014 | 32 | 2014 |
| Integration of the humanoid robot Nao inside a smart home: A case study A Louloudi, A Mosallam, N Marturi, P Janse, V Hernandez The Swedish AI Society Workshop May 20-21; 2010; Uppsala University, 35-44, 2010 | 28 | 2010 |
| Remaining useful life estimation of critical components based on Bayesian approaches A Mosallam Université de Franche-Comté, 2016 | 16 | 2016 |
| Nonlinear relation mining for maintenance prediction A Mosallam, S Byttner, M Svensson, T Rögnvaldsson 2011 Aerospace Conference, 1-9, 2011 | 16 | 2011 |
| Integrated bayesian framework for remaining useful life prediction A Mosallam, K Medjaher, N Zerhouni Prognostics and Health Management (PHM), 2014 IEEE Conference on, 1-6, 2015 | 12 | 2015 |
| Unsupervised Trend Extraction for Prognostics and Condition Assessment A Mosallam, K Medjaher, N Zerhouni 2nd IFAC workshop on Advanced Maintenance Engineering, Service and …, 2012 | 8 | 2012 |
| ‘Data-driven fault detection for neutron generator subsystem in multifunction logging-while-drilling service A Mosallam, L Laval, FB Youssef, J Fulton, D Viassolo Proc. PHM Soc. Eur. Conf, 1-4, 2018 | 5 | 2018 |
| Self-organized selection of features for unsupervised on-board fault detection A Mosallam Studies from the Department of Technology at Örebro University, Master Thesis, 2010 | 2 | 2010 |
| Data-Driven Fault Detection Method for Electronic Boards in Intelligent Remote Dual-Valve System S Bhatnagar, ML Cassou, Z Al Masry, A Mosallam 6th European Conference of the Prognostics and Health Management Society, 53-59, 2021 | 1 | 2021 |
| Tool Compatibility Index: Indicator Enables Improved Tool Selection for Well Construction J Kang, C Varnier, A Mosallam, N Zerhouni, FB Youssef, N Shen PHM Society European Conference 7 (1), 239-244, 2022 | | 2022 |
| Data-Driven Fault Detection for Transmitter in Logging-While-Drilling Tool K Sobczak-Oramus, A Mosallam, C Basci, J Kang PHM Society European Conference 7 (1), 458-465, 2022 | | 2022 |
| Risk Level Estimation for Electronics Boards in Drilling and Measurement Tools Based on the Hidden Markov Model J Kang, C Varnier, A Mosallam, N Zerhouni, FB Youssef, N Shen 2022 Prognostics and Health Management Conference (PHM-2022 London), 495-500, 2022 | | 2022 |
| In-situ evaluation of gauges N Williard, M Nutakki, AFA Mosallam, D Viassolo, L Cotelle, M Alioto, ... US Patent 11,286,752, 2022 | | 2022 |
| SYSTEM AND METHOD FOR PREDICTION OF A COMPONENT FAILURE A MOSALLAM, L LAVAL, G HADDAD EP Patent App. EP20160290108 20,160,615, 2017 | | 2017 |
| A Data-driven Approach for Remaining Useful Life Prediction of Critical Components A Mosallam | | 2014 |
Said Noureddine ZERHOUNIProfesseur d'Automatique, ENSMM BesançonVerified email at ens2m.fr
