Dependability evaluation of a GNSS and ECS based localisation unit for railway vehicles. - Thi Phuong Khanh Nguyen; Julie Beugin; Juliette Marais (ITST, 2013)

Modelling Communication Based Train Control System for Dependability Analysis of the LTE Communication Network in Train Control Application. - Khanh T. P. Nguyen; Julie Beugin; Marion Berbineau; Mohamed Kassab (EMS, 2014)

Maintaining a system subject to uncertain technological evolution. - Thi Phuong Khanh Nguyen; Bruno Castanier; Thomas G. Yeung (Reliab. Eng. Syst. Saf., 2014)

Analytical approach for evaluating LTE communication errors in train control application. - Khanh T. P. Nguyen; Julie Beugin; Marion Berbineau; Mohamed Kassab (ICC Workshops, 2015)

Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system. - Thi Phuong Khanh Nguyen; Julie Beugin; Juliette Marais (Reliab. Eng. Syst. Saf., 2015)

Acquisition of new technology information for maintenance and replacement policies. - Khanh T. P. Nguyen; Thomas G. Yeung; Bruno Castanier (Int. J. Prod. Res., 2017)

A New Analytical Approach to Evaluate the Critical-Event Probability Due to Wireless Communication Errors in Train Control Systems. - Khanh T. P. Nguyen; Julie Beugin; Marion Berbineau; Mohamed Kassab (IEEE Trans. Intell. Transp. Syst., 2017)

Model selection for degradation modeling and prognosis with health monitoring data. - Khanh T. P. Nguyen; Mitra Fouladirad; Antoine Grall (Reliab. Eng. Syst. Saf., 2018)

New Methodology for Improving the Inspection Policies for Degradation Model Selection According to Prognostic Measures. - Khanh T. P. Nguyen; Mitra Fouladirad; Antoine Grall (IEEE Trans. Reliab., 2018)

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

Application of fuzzy theory for identifying the required availability of an autonomous localization unit in European Train Control System. - Khanh T. P. Nguyen; Julie Beugin; Marion Berbineau; Juliette Marais (J. Intell. Transp. Syst., 2019)

Joint optimization of monitoring quality and replacement decisions in condition-based maintenance. - Khanh T. P. Nguyen; Phuc Do; Khac Tuan Huynh; Christophe Bérenguer; Antoine Grall (Reliab. Eng. Syst. Saf., 2019)

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

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)

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)

A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. - Weikun Deng; Khanh T. P. Nguyen; Christian Gogu; Kamal Mejaher; Jérôme Morio; Hung Le; Dazhong Wu (CoDIT, 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)

A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning. - T. Q. D. Pham; K. D. Tran; Khanh T. P. Nguyen; X. V. Tran; K. P. Tran (CoRR, 2025)