Component-Based Modelling of Thermofluid Systems for Sensor Placement and Fault Detection. - Arun K. Samantaray; Kamal Medjaher; Belkacem Ould Bouamama; Marcel Staroswiecki; Geneviève Dauphin-Tanguy (Simul., 2004)

Model Based Fault Detection of Backlash in Mechatronic Test Bench. - Kamal Medjaher; Rochdi Merzouki; Belkacem Ould Bouamama (CDC, 2006)

Diagnostic bond graphs for online fault detection and isolation. - Arun K. Samantaray; Kamal Medjaher; Belkacem Ould Bouamama; Marcel Staroswiecki; Geneviève Dauphin-Tanguy (Simul. Model. Pract. Theory, 2006)

Reconfiguration of an industrial steam generator using bond graph modelling. - Arun K. Samantaray; Sanjoy K. Ghoshal; Kamal Medjaher; Belkacem Ould Bouamama (Int. J. Model. Identif. Control., 2007)

Bond graph model of a vertical U-tube steam condenser coupled with a heat exchanger. - Kamal Medjaher; Arun K. Samantaray; Belkacem Ould Bouamama (Simul. Model. Pract. Theory, 2009)

A mixture of Gaussians Hidden Markov Model for failure diagnostic and prognostic. - Diego Alejandro Tobon-Mejia; Kamal Medjaher; Noureddine Zerhouni; Gerard Tripot (CASE, 2010)

Remaining Useful Life Estimation of Critical Components With Application to Bearings. - Kamal Medjaher; Diego Alejandro Tobon-Mejia; Noureddine Zerhouni (IEEE Trans. Reliab., 2012)

A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models. - Diego Alejandro Tobon-Mejia; Kamal Medjaher; Noureddine Zerhouni; Gerard Tripot (IEEE Trans. Reliab., 2012)

Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data. - Kamal Medjaher; Noureddine Zerhouni; J. Baklouti (ECC, 2013)

Remaining useful life estimation based on nonlinear feature reduction and support vector regression. - Tarak Benkedjouh; Kamal Medjaher; Noureddine Zerhouni; Said Rechak (Eng. Appl. Artif. Intell., 2013)

Feature Evaluation for Effective Bearing Prognostics. - Fatih Camci; Kamal Medjaher; Noureddine Zerhouni; Patrick Nectoux (Qual. Reliab. Eng. Int., 2013)

Condition assessment and fault prognostics of microelectromechanical systems. - Kamal Medjaher; Haithem Skima; Noureddine Zerhouni (Microelectron. Reliab., 2014)

Accelerated lifetime tests and failure analysis of an electro-thermally actuated MEMS valve. - Haithem Skima; Kamal Medjaher; Christophe Varnier; Nourredine Zerhouni; Eugen Dedu; Julien Bourgeois (ICM, 2015)

Dependability of wireless sensor networks for industrial prognostics and health management. - Wiem Elghazel; Jacques M. Bahi; Christophe Guyeux; Mourad Hakem; Kamal Medjaher; Noureddine Zerhouni (Comput. Ind., 2015)

Health assessment and life prediction of cutting tools based on support vector regression. - Tarak Benkedjouh; Kamal Medjaher; Noureddine Zerhouni; Said Rechak (J. Intell. Manuf., 2015)

Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression. - Abdenour Soualhi; Kamal Medjaher; Noureddine Zerhouni (IEEE Trans. Instrum. Meas., 2015)

Skeleton of a generic approach for the generation of health indicators of physical systems. - M. C. Sekkal; Nasreddine Berrached; Kamal Medjaher; Christophe Varnier (CIST, 2016)

Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor. - Haithem Skima; Eugen Dedu; Julien Bourgeois; Christophe Varnier; Kamal Medjaher (DepCoS-RELCOMEX, 2016)

Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets. - Jacques M. Bahi; Wiem Elghazel; Christophe Guyeux; Mohammed Haddad 001; Mourad Hakem; Kamal Medjaher; Noureddine Zerhouni (Comput. J., 2016)

Resiliency in Distributed Sensor Networks for PHM of the Monitoring Targets. - Jacques M. Bahi; Wiem Elghazel; Christophe Guyeux; Mohammed Haddad 001; Mourad Hakem; Kamal Medjaher; Nourredine Zerhouni (CoRR, 2016)

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction. - A. Mosallam; Kamal Medjaher; Noureddine Zerhouni (J. Intell. Manuf., 2016)

A hybrid prognostics approach for MEMS: From real measurements to remaining useful life estimation. - Haithem Skima; Kamal Medjaher; Christophe Varnier; Eugen Dedu; Julien Bourgeois (Microelectron. Reliab., 2016)

Experimental monitoring data for prognostics and health management of MEMS. - Haithem Skima; Kamal Medjaher; Christophe Varnier; Noureddine Zerhouni (CoDIT, 2017)

Dependability of Sensor Networks for Industrial Prognostics and Health Management. - Wiem Elghazel; Jacques M. Bahi; Christophe Guyeux; Mourad Hakem; Kamal Medjaher; Noureddine Zerhouni (CoRR, 2017)

Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks. - Wiem Elghazel; Kamal Medjaher; Nourredine Zerhouni; Jacques M. Bahi; Ahmad Farhat; Christophe Guyeux; Mourad Hakem (CoRR, 2017)

Data preparation and preprocessing for broadcast systems monitoring in PHM framework. - Houda Sarih; Ayeley P. Tchangani; Kamal Medjaher; Eric Pere (CoDIT, 2019)

Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process. - Ferhat Tamssaouet; Thi Phuong Khanh Nguyen; Kamal Medjaher; Marcos E. Orchard (CoDIT, 2019)

Reliable diagnostics using wireless sensor networks. - Jacques M. Bahi; Wiem Elghazel; Christophe Guyeux; Mourad Hakem; Kamal Medjaher; Noureddine Zerhouni (Comput. Ind., 2019)

Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset. - Romy Ratolojanahary; Raymond Houé Ngouna; Kamal Medjaher; Jean Junca-Bourié; Fabien Dauriac; Mathieu Sebilo (Expert Syst. Appl., 2019)

A SAW wireless sensor network platform for industrial predictive maintenance. - Bérenger Ossété Gombé; Gwenhael Goavec-Mérou; Karla Breschi; Hervé Guyennet; Jean-Michel Friedt; Violeta Felea; Kamal Medjaher (J. Intell. Manuf., 2019)

Post-prognostics decision making in distributed MEMS-based systems. - Haithem Skima; Christophe Varnier; Eugen Dedu; Kamal Medjaher; Julien Bourgeois (J. Intell. Manuf., 2019)

Feature selection and fault-severity classification-based machine health assessment methodology for point machine sliding-chair degradation. - Vepa Atamuradov; Kamal Medjaher; Fatih Camci; Noureddine Zerhouni; Pierre Dersin; Benjamin Lamoureux (Qual. Reliab. Eng. Int., 2019)

A new dynamic predictive maintenance framework using deep learning for failure prognostics. - Khanh T. P. Nguyen; Kamal Medjaher (Reliab. Eng. Syst. Saf., 2019)

Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment. - Vepa Atamuradov; Kamal Medjaher; Fatih Camci; Pierre Dersin; Noureddine Zerhouni (IEEE Trans. Instrum. Meas., 2019)

A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values. - Raymond Houé Ngouna; Romy Ratolojanahary; Kamal Medjaher; Fabien Dauriac; Mathieu Sebilo; Jean Junca-Bourié (Eng. Appl. Artif. Intell., 2020)

Condition monitoring and prediction of solution quality during a copper electroplating process. - Gerardo Emanuel Granados; Loïc Lacroix; Kamal Medjaher (J. Intell. Manuf., 2020)

Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics. - Vepa Atamuradov; Kamal Medjaher; Fatih Camci; Noureddine Zerhouni; Pierre Dersin; Benjamin Lamoureux (J. Signal Process. Syst., 2020)

RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques. - Matteo Barbieri; Khanh T. P. Nguyen; Roberto Diversi; Kamal Medjaher; Andrea Tilli (J. Intell. Manuf., 2021)

Degradation Modeling and Uncertainty Quantification for System-Level Prognostics. - Ferhat Tamssaouet; Khanh T. P. Nguyen; Kamal Medjaher; Marcos E. Orchard (IEEE Syst. J., 2021)

System-Level Prognostics Under Mission Profile Effects Using Inoperability Input-Output Model. - Ferhat Tamssaouet; Khanh T. P. Nguyen; Kamal Medjaher (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network. - Sagar Jose; Raymond Houé Ngouna; Khanh T. P. Nguyen; Kamal Medjaher (CoDIT, 2022)

Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator. - Moncef Soualhi; Noureddine Zerhouni; Abdenour Soualhi; Kamel Eddine Hemsas; Thi Phuong Khanh Nguyen; Kamal Medjaher (CoDIT, 2022)

Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems. - Khanh T. P. Nguyen; Kamal Medjaher; Christian Gogu (Reliab. Eng. Syst. Saf., 2022)

Robust Data-Driven Fault Diagnostics for Rotating Machinery Operating under Varying Working Conditions. - David Latil; Raymond Houé Ngouna; Kamal Medjaher; Stéphane Lhuisset (CoDIT, 2023)

Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations. - Moncef Soualhi; Khanh T. P. Nguyen; Kamal Medjaher; Fatiha Nejjari; Vicenç Puig; Joaquim Blesa; Joseba Quevedo; Francesc Marlasca (Comput. Ind., 2023)

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines. - Khanh T. P. Nguyen; Kamal Medjaher; Do T. Tran (Artif. Intell. Rev., 2023)

Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. - Moncef Soualhi; Khanh T. P. Nguyen; Kamal Medjaher; Denis Lebel; David Cazaban (J. Intell. Manuf., 2023)

Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. - Moncef Soualhi; Khanh T. P. Nguyen; Kamal Medjaher; Denis Lebel; David Cazaban (J. Intell. Manuf., 2023)

Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. - Weikun Deng; Khanh T. P. Nguyen; Kamal Medjaher; Christian Gogu; Jérôme Morio (Adv. Eng. Informatics, 2023)

Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators. - Sagar Jose; Khanh T. P. Nguyen; Kamal Medjaher; Ryad Zemouri; Mélanie Lévesque; Antoine Tahan (Comput. Ind., 2023)

Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. - Sagar Jose; Khanh T. P. Nguyen; Kamal Medjaher; Ryad Zemouri; Mélanie Lévesque; Antoine Tahan (AIM, 2024)

Enhancing PHM with XAI: Review and Dataset for System Health Indicator Construction. - Duc An Nguyen; Khanh T. P. Nguyen; Kamal Medjaher (ICSRS, 2024)

Physics informed machine learning model for inverse dynamics in robotic manipulators. - Weikun Deng; Ardiani Fabio; Khanh T. P. Nguyen; Mourad Benoussaad; Kamal Medjaher (Appl. Soft Comput., 2024)

Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration. - Weikun Deng; Khanh T. P. Nguyen; Christian Gogu; Kamal Medjaher; Jérôme Morio (Eng. Appl. Artif. Intell., 2024)

Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors. - Moncef Soualhi; Khanh T. P. Nguyen; Kamal Medjaher (Eng. Appl. Artif. Intell., 2024)

Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models. - Sagar Jose; Khanh T. P. Nguyen; Kamal Medjaher; Ryad Zemouri; Mélanie Lévesque; Antoine Tahan (Expert Syst. Appl., 2024)

Prognostics of complex machinery with sparse multilabel multimodal run-to-failure data: A graph neural network approach. - Sagar Jose; Ryad Zemouri; Khanh T. P. Nguyen; Kamal Medjaher; Mélanie Lévesque; Antoine Tahan (Adv. Eng. Informatics, 2025)

Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms. - Samy Jad; Xavier Desforges; Pierre-Yves Villard; Christian Caussidéry; Kamal Medjaher (CoRR, 2025)