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 | 365 | 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 | 67 | 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 | 44 | 2014 |
Component based data-driven prognostics for complex systems: Methodology and applications A Mosallam, K Medjaher, N Zerhouni | 42 | 2016 |
Bayesian Approach for Remaining Useful Life Prediction A Mosallam, K Medjaher, N Zerhouni Chemical Engineering Transactions 33, 139 - 144, 2013 | 37 | 2013 |
Integration of the humanoid robot Nao inside a smart home: A case study A Louloudi, A Mosallam, N Marturi, P Janse, V Hernandez Proceedings of the Swedish AI Society Workshop (SAIS). Linköping Electronic …, 2010 | 30 | 2010 |
Remaining useful life estimation of critical components based on Bayesian approaches A Mosallam Université de Franche-Comté, 2016 | 21 | 2016 |
Nonlinear relation mining for maintenance prediction A Mosallam, S Byttner, M Svensson, T Rögnvaldsson 2011 Aerospace Conference, 1-9, 2011 | 18 | 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 | 14 | 2015 |
‘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 | 13 | 2018 |
Unsupervised Trend Extraction for Prognostics and Condition Assessment A Mosallam, K Medjaher, N Zerhouni 2nd IFAC workshop on Advanced Maintenance Engineering, Service and …, 2012 | 10 | 2012 |
Data-Driven Fault Diagnostics for Neutron Generator Systems in Multifunction Logging-While-Drilling Service A Mosallam, J Kang, FB Youssef, L Laval, J Fulton 2023 Prognostics and Health Management Conference (PHM), 171-176, 2023 | 5 | 2023 |
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 | 5 | 2022 |
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 | 5 | 2021 |
Data-Driven Degradation Modeling Approach for Neutron Generators in Multifunction Logging-While-Drilling Service A Mosallam, FB Youssef, K Sobczak-Oramus, J Kang, V Gupta, N Shen, ... 2023 Prognostics and Health Management Conference (PHM), 101-106, 2023 | 4 | 2023 |
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 | 4 | 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 | 4 | 2022 |
Automatic Fault Detection for Resistivity Systems in Logging-While-Drilling Tools V Gupta, J Kang, A Mosallam, N Shen, FB Youssef, L Laval 2023 Prognostics and Health Management Conference (PHM), 128-132, 2023 | 2 | 2023 |
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 |
Integrating Fleet Compatibility and Environmental Risk in Downhole Tool Investment Planning J Kang, N Shen, FB Youssef, A Mosallam, C Varnier, N Zerhouni 2023 Prognostics and Health Management Conference (PHM), 112-116, 2023 | 1 | 2023 |