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Kamal Medjaher
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2020 – today
- 2024
- [j39]Weikun Deng, Ardiani Fabio, Khanh T. P. Nguyen, Mourad Benoussaad, Kamal Medjaher:
Physics informed machine learning model for inverse dynamics in robotic manipulators. Appl. Soft Comput. 163: 111877 (2024) - [j38]Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher:
Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors. Eng. Appl. Artif. Intell. 133: 108186 (2024) - [j37]Weikun Deng, Khanh T. P. Nguyen, Christian Gogu, Kamal Medjaher, Jérôme Morio:
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration. Eng. Appl. Artif. Intell. 138: 109268 (2024) - [j36]Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan:
Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models. Expert Syst. Appl. 255: 124603 (2024) - [c13]Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan:
Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. AIM 2024: 530-535 - 2023
- [j35]Weikun Deng, Khanh T. P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio:
Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. Adv. Eng. Informatics 58: 102128 (2023) - [j34]Khanh T. P. Nguyen, Kamal Medjaher, Do T. Tran:
A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines. Artif. Intell. Rev. 56(4): 3659-3709 (2023) - [j33]Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Fatiha Nejjari, Vicenç Puig, Joaquim Blesa, Joseba Quevedo, Francesc Marlasca:
Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations. Comput. Ind. 144: 103766 (2023) - [j32]Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan:
Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators. Comput. Ind. 151: 103983 (2023) - [j31]Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Denis Lebel, David Cazaban:
Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. J. Intell. Manuf. 34(4): 1743-1759 (2023) - [j30]Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Denis Lebel, David Cazaban:
Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. J. Intell. Manuf. 34(4): 1761 (2023) - [c12]David Latil, Raymond Houé Ngouna, Kamal Medjaher, Stéphane Lhuisset:
Robust Data-Driven Fault Diagnostics for Rotating Machinery Operating under Varying Working Conditions. CoDIT 2023: 1912-1917 - 2022
- [j29]Khanh T. P. Nguyen, Kamal Medjaher, Christian Gogu:
Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems. Reliab. Eng. Syst. Saf. 222: 108383 (2022) - [c11]Sagar Jose, Raymond Houé Ngouna, Khanh T. P. Nguyen, Kamal Medjaher:
Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network. CoDIT 2022: 280-285 - [c10]Moncef Soualhi, Noureddine Zerhouni, Abdenour Soualhi, Kamel Eddine Hemsas, Thi Phuong Khanh Nguyen, Kamal Medjaher:
Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator. CoDIT 2022: 1014-1019 - 2021
- [j28]Matteo Barbieri, Khanh T. P. Nguyen, Roberto Diversi, Kamal Medjaher, Andrea Tilli:
RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques. J. Intell. Manuf. 32(5): 1421-1440 (2021) - [j27]Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher, Marcos E. Orchard:
Degradation Modeling and Uncertainty Quantification for System-Level Prognostics. IEEE Syst. J. 15(2): 1628-1639 (2021) - [j26]Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher:
System-Level Prognostics Under Mission Profile Effects Using Inoperability Input-Output Model. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4659-4669 (2021) - 2020
- [j25]Raymond Houé Ngouna, Romy Ratolojanahary, Kamal Medjaher, Fabien Dauriac, Mathieu Sebilo, Jean Junca-Bourié:
A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values. Eng. Appl. Artif. Intell. 95: 103822 (2020) - [j24]Gerardo Emanuel Granados, Loïc Lacroix, Kamal Medjaher:
Condition monitoring and prediction of solution quality during a copper electroplating process. J. Intell. Manuf. 31(2): 285-300 (2020) - [j23]Vepa Atamuradov, Kamal Medjaher, Fatih Camci, Noureddine Zerhouni, Pierre Dersin, Benjamin Lamoureux:
Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics. J. Signal Process. Syst. 92(6): 591-609 (2020)
2010 – 2019
- 2019
- [j22]Jacques M. Bahi, Wiem Elghazel, Christophe Guyeux, Mourad Hakem, Kamal Medjaher, Noureddine Zerhouni:
Reliable diagnostics using wireless sensor networks. Comput. Ind. 104: 103-115 (2019) - [j21]Romy Ratolojanahary, Raymond Houé Ngouna, Kamal Medjaher, Jean Junca-Bourié, Fabien Dauriac, Mathieu Sebilo:
Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset. Expert Syst. Appl. 131: 299-307 (2019) - [j20]Haithem Skima, Christophe Varnier, Eugen Dedu, Kamal Medjaher, Julien Bourgeois:
Post-prognostics decision making in distributed MEMS-based systems. J. Intell. Manuf. 30(3): 1125-1136 (2019) - [j19]Bérenger Ossété Gombé, Gwenhael Goavec-Mérou, Karla Breschi, Hervé Guyennet, Jean-Michel Friedt, Violeta Felea, Kamal Medjaher:
A SAW wireless sensor network platform for industrial predictive maintenance. J. Intell. Manuf. 30(4): 1617-1628 (2019) - [j18]Vepa Atamuradov, Kamal Medjaher, Fatih Camci, Noureddine Zerhouni, Pierre Dersin, Benjamin Lamoureux:
Feature selection and fault-severity classification-based machine health assessment methodology for point machine sliding-chair degradation. Qual. Reliab. Eng. Int. 35(4): 1081-1099 (2019) - [j17]Khanh T. P. Nguyen, Kamal Medjaher:
A new dynamic predictive maintenance framework using deep learning for failure prognostics. Reliab. Eng. Syst. Saf. 188: 251-262 (2019) - [j16]Vepa Atamuradov, Kamal Medjaher, Fatih Camci, Pierre Dersin, Noureddine Zerhouni:
Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment. IEEE Trans. Instrum. Meas. 68(8): 2691-2704 (2019) - [c9]Ferhat Tamssaouet, Thi Phuong Khanh Nguyen, Kamal Medjaher, Marcos E. Orchard:
Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process. CoDIT 2019: 1243-1248 - [c8]Houda Sarih, Ayeley P. Tchangani, Kamal Medjaher, Eric Pere:
Data preparation and preprocessing for broadcast systems monitoring in PHM framework. CoDIT 2019: 1444-1449 - 2017
- [c7]Haithem Skima, Kamal Medjaher, Christophe Varnier, Noureddine Zerhouni:
Experimental monitoring data for prognostics and health management of MEMS. CoDIT 2017: 55-60 - [i3]Wiem Elghazel, Kamal Medjaher, Nourredine Zerhouni, Jacques M. Bahi, Ahmad Farhat, Christophe Guyeux, Mourad Hakem:
Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks. CoRR abs/1706.08106 (2017) - [i2]Wiem Elghazel, Jacques M. Bahi, Christophe Guyeux, Mourad Hakem, Kamal Medjaher, Noureddine Zerhouni:
Dependability of Sensor Networks for Industrial Prognostics and Health Management. CoRR abs/1706.08129 (2017) - 2016
- [j15]Jacques M. Bahi, Wiem Elghazel, Christophe Guyeux, Mohammed Haddad, Mourad Hakem, Kamal Medjaher, Noureddine Zerhouni:
Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets. Comput. J. 59(2): 275-284 (2016) - [j14]A. Mosallam, Kamal Medjaher, Noureddine Zerhouni:
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction. J. Intell. Manuf. 27(5): 1037-1048 (2016) - [j13]Haithem Skima, Kamal Medjaher, Christophe Varnier, Eugen Dedu, Julien Bourgeois:
A hybrid prognostics approach for MEMS: From real measurements to remaining useful life estimation. Microelectron. Reliab. 65: 79-88 (2016) - [c6]M. C. Sekkal, Nasreddine Berrached, Kamal Medjaher, Christophe Varnier:
Skeleton of a generic approach for the generation of health indicators of physical systems. CIST 2016: 621-626 - [c5]Haithem Skima, Eugen Dedu, Julien Bourgeois, Christophe Varnier, Kamal Medjaher:
Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor. DepCoS-RELCOMEX 2016: 395-408 - [i1]Jacques M. Bahi, Wiem Elghazel, Christophe Guyeux, Mohammed Haddad, Mourad Hakem, Kamal Medjaher, Nourredine Zerhouni:
Resiliency in Distributed Sensor Networks for PHM of the Monitoring Targets. CoRR abs/1608.05844 (2016) - 2015
- [j12]Wiem Elghazel, Jacques M. Bahi, Christophe Guyeux, Mourad Hakem, Kamal Medjaher, Noureddine Zerhouni:
Dependability of wireless sensor networks for industrial prognostics and health management. Comput. Ind. 68: 1-15 (2015) - [j11]Tarak Benkedjouh, Kamal Medjaher, Noureddine Zerhouni, Said Rechak:
Health assessment and life prediction of cutting tools based on support vector regression. J. Intell. Manuf. 26(2): 213-223 (2015) - [j10]Abdenour Soualhi, Kamal Medjaher, Noureddine Zerhouni:
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression. IEEE Trans. Instrum. Meas. 64(1): 52-62 (2015) - [c4]Haithem Skima, Kamal Medjaher, Christophe Varnier, Nourredine Zerhouni, Eugen Dedu, Julien Bourgeois:
Accelerated lifetime tests and failure analysis of an electro-thermally actuated MEMS valve. ICM 2015: 75-78 - 2014
- [j9]Kamal Medjaher, Haithem Skima, Noureddine Zerhouni:
Condition assessment and fault prognostics of microelectromechanical systems. Microelectron. Reliab. 54(1): 143-151 (2014) - 2013
- [j8]Tarak Benkedjouh, Kamal Medjaher, Noureddine Zerhouni, Said Rechak:
Remaining useful life estimation based on nonlinear feature reduction and support vector regression. Eng. Appl. Artif. Intell. 26(7): 1751-1760 (2013) - [j7]Fatih Camci, Kamal Medjaher, Noureddine Zerhouni, Patrick Nectoux:
Feature Evaluation for Effective Bearing Prognostics. Qual. Reliab. Eng. Int. 29(4): 477-486 (2013) - [c3]Kamal Medjaher, Noureddine Zerhouni, J. Baklouti:
Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data. ECC 2013: 1451-1456 - 2012
- [j6]Kamal Medjaher, Diego Alejandro Tobon-Mejia, Noureddine Zerhouni:
Remaining Useful Life Estimation of Critical Components With Application to Bearings. IEEE Trans. Reliab. 61(2): 292-302 (2012) - [j5]Diego Alejandro Tobon-Mejia, Kamal Medjaher, Noureddine Zerhouni, Gerard Tripot:
A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models. IEEE Trans. Reliab. 61(2): 491-503 (2012) - 2010
- [c2]Diego Alejandro Tobon-Mejia, Kamal Medjaher, Noureddine Zerhouni, Gerard Tripot:
A mixture of Gaussians Hidden Markov Model for failure diagnostic and prognostic. CASE 2010: 338-343
2000 – 2009
- 2009
- [j4]Kamal Medjaher, Arun K. Samantaray, Belkacem Ould Bouamama:
Bond graph model of a vertical U-tube steam condenser coupled with a heat exchanger. Simul. Model. Pract. Theory 17(1): 228-239 (2009) - 2007
- [j3]Arun K. Samantaray, Sanjoy K. Ghoshal, Kamal Medjaher, Belkacem Ould Bouamama:
Reconfiguration of an industrial steam generator using bond graph modelling. Int. J. Model. Identif. Control. 2(2): 154-168 (2007) - 2006
- [j2]Arun K. Samantaray, Kamal Medjaher, Belkacem Ould Bouamama, Marcel Staroswiecki, Geneviève Dauphin-Tanguy:
Diagnostic bond graphs for online fault detection and isolation. Simul. Model. Pract. Theory 14(3): 237-262 (2006) - [c1]Kamal Medjaher, Rochdi Merzouki, Belkacem Ould Bouamama:
Model Based Fault Detection of Backlash in Mechatronic Test Bench. CDC 2006: 6561-6566 - 2004
- [j1]Arun K. Samantaray, Kamal Medjaher, Belkacem Ould Bouamama, Marcel Staroswiecki, Geneviève Dauphin-Tanguy:
Component-Based Modelling of Thermofluid Systems for Sensor Placement and Fault Detection. Simul. 80(7-8): 381-398 (2004)
Coauthor Index
aka: Thi Phuong Khanh Nguyen
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