Khanh T. P. Nguyen

30 papers C 2Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing industrial prognostic accuracy in noisy and missing data context: assessing multimodal learning performance. J. Intell. Manuf. Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher
2025	J	`jnl`	A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning. CoRR T. Q. D. Pham, K. D. Tran, Khanh T. P. Nguyen, X. V. Tran, K. P. Tran
2025	J	`jnl`	Prognostics of complex machinery with sparse multilabel multimodal run-to-failure data: A graph neural network approach. Adv. Eng. Informatics Sagar Jose, Ryad Zemouri, Khanh T. P. Nguyen, Kamal Medjaher, Mélanie Lévesque, Antoine Tahan
2024	C	`conf`	A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. CoDIT Weikun Deng, Khanh T. P. Nguyen, Christian Gogu, Kamal Medjaher, Jérôme Morio, Hung Le, Dazhong Wu
2024	J	`jnl`	Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models. Expert Syst. Appl. Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan
2024	—	`conf`	Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. AIM Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan
2024	—	`conf`	Enhancing PHM with XAI: Review and Dataset for System Health Indicator Construction. ICSRS Duc An Nguyen, Khanh T. P. Nguyen, Kamal Medjaher
2024	J	`jnl`	Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration. Eng. Appl. Artif. Intell. Weikun Deng, Khanh T. P. Nguyen, Christian Gogu, Kamal Medjaher, Jérôme Morio
2024	J	`jnl`	Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors. Eng. Appl. Artif. Intell. Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher
2024	J	`jnl`	Physics informed machine learning model for inverse dynamics in robotic manipulators. Appl. Soft Comput. Weikun Deng, Ardiani Fabio, Khanh T. P. Nguyen, Mourad Benoussaad, Kamal Medjaher
2023	J	`jnl`	A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines. Artif. Intell. Rev. Khanh T. P. Nguyen, Kamal Medjaher, Do T. Tran
2023	J	`jnl`	Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. J. Intell. Manuf. Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Denis Lebel, David Cazaban
2023	J	`jnl`	Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations. Comput. Ind. Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Fatiha Nejjari, Vicenç Puig, Joaquim Blesa, Joseba Quevedo, Francesc Marlasca
2023	J	`jnl`	Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators. Comput. Ind. Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan
2023	J	`jnl`	Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. J. Intell. Manuf. Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Denis Lebel, David Cazaban
2023	J	`jnl`	Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. Adv. Eng. Informatics Weikun Deng, Khanh T. P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio
2022	J	`jnl`	Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems. Reliab. Eng. Syst. Saf. Khanh T. P. Nguyen, Kamal Medjaher, Christian Gogu
2022	C	`conf`	Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network. CoDIT Sagar Jose, Raymond Houé Ngouna, Khanh T. P. Nguyen, Kamal Medjaher
2021	J	`jnl`	Degradation Modeling and Uncertainty Quantification for System-Level Prognostics. IEEE Syst. J. Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher, Marcos E. Orchard
2021	J	`jnl`	RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques. J. Intell. Manuf. Matteo Barbieri, Khanh T. P. Nguyen, Roberto Diversi, Kamal Medjaher, Andrea Tilli
2021	J	`jnl`	System-Level Prognostics Under Mission Profile Effects Using Inoperability Input-Output Model. IEEE Trans. Syst. Man Cybern. Syst. Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher
2019	J	`jnl`	A new dynamic predictive maintenance framework using deep learning for failure prognostics. Reliab. Eng. Syst. Saf. Khanh T. P. Nguyen, Kamal Medjaher
2019	J	`jnl`	Application of fuzzy theory for identifying the required availability of an autonomous localization unit in European Train Control System. J. Intell. Transp. Syst. Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, Juliette Marais
2019	J	`jnl`	Joint optimization of monitoring quality and replacement decisions in condition-based maintenance. Reliab. Eng. Syst. Saf. Khanh T. P. Nguyen, Phuc Do, Khac Tuan Huynh, Christophe Bérenguer, Antoine Grall
2018	J	`jnl`	Model selection for degradation modeling and prognosis with health monitoring data. Reliab. Eng. Syst. Saf. Khanh T. P. Nguyen, Mitra Fouladirad, Antoine Grall
2018	J	`jnl`	New Methodology for Improving the Inspection Policies for Degradation Model Selection According to Prognostic Measures. IEEE Trans. Reliab. Khanh T. P. Nguyen, Mitra Fouladirad, Antoine Grall
2017	J	`jnl`	A New Analytical Approach to Evaluate the Critical-Event Probability Due to Wireless Communication Errors in Train Control Systems. IEEE Trans. Intell. Transp. Syst. Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, Mohamed Kassab
2017	J	`jnl`	Acquisition of new technology information for maintenance and replacement policies. Int. J. Prod. Res. Khanh T. P. Nguyen, Thomas G. Yeung, Bruno Castanier
2015	—	`conf`	Analytical approach for evaluating LTE communication errors in train control application. ICC Workshops Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, Mohamed Kassab
2014	—	`conf`	Modelling Communication Based Train Control System for Dependability Analysis of the LTE Communication Network in Train Control Application. EMS Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, Mohamed Kassab