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Ahmed Mosallam
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Cited by
Year
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
2862014
Nonparametric time series modelling for industrial prognostics and health management
A Mosallam, K Medjaher, N Zerhouni
The International Journal of Advanced Manufacturing Technology, 2013
582013
Component based data-driven prognostics for complex systems: Methodology and applications
A Mosallam, K Medjaher, N Zerhouni
332016
Bayesian Approach for Remaining Useful Life Prediction
A Mosallam, K Medjaher, N Zerhouni
Chemical Engineering Transactions 33, 139 - 144, 2013
332013
Time series trending for condition assessment and prognostics
A Mosallam, K Medjaher, N Zerhouni
Journal of manufacturing technology management, 2014
322014
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
292010
Nonlinear relation mining for maintenance prediction
A Mosallam, S Byttner, M Svensson, T Rögnvaldsson
2011 Aerospace Conference, 1-9, 2011
152011
Remaining useful life estimation of critical components based on Bayesian approaches
A Mosallam
Université de Franche-Comté, 2016
122016
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
122015
Unsupervised Trend Extraction for Prognostics and Condition Assessment
A Mosallam, K Medjaher, N Zerhouni
2nd IFAC workshop on Advanced Maintenance Engineering, Service and …, 2012
82012
‘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
52018
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
22010
Data-Driven Fault Detection Method for Electronic Boards in Intelligent Remote Dual-Valve System
S Bhatnagar, ML Cassou, Z Al Masry, A Mosallam
PHM Society European Conference 6 (1), 7-7, 2021
12021
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
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