Khanh T. P. Nguyen

Orcid: 0000-0001-8184-8238

According to our database1, Khanh T. P. Nguyen authored at least 25 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators.
Comput. Ind., October, 2023

Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects.
Adv. Eng. Informatics, October, 2023

Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations.
J. Intell. Manuf., April, 2023

Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations.
J. Intell. Manuf., April, 2023

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines.
Artif. Intell. Rev., April, 2023

Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations.
Comput. Ind., 2023

2022
Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems.
Reliab. Eng. Syst. Saf., 2022

Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator.
Proceedings of the 8th International Conference on Control, 2022

Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN-Transformer-LSTM Network.
Proceedings of the 8th International Conference on Control, 2022

2021
System-Level Prognostics Under Mission Profile Effects Using Inoperability Input-Output Model.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Degradation Modeling and Uncertainty Quantification for System-Level Prognostics.
IEEE Syst. J., 2021

RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques.
J. Intell. Manuf., 2021

2019
A new dynamic predictive maintenance framework using deep learning for failure prognostics.
Reliab. Eng. Syst. Saf., 2019

Joint optimization of monitoring quality and replacement decisions in condition-based maintenance.
Reliab. Eng. Syst. Saf., 2019

Application of fuzzy theory for identifying the required availability of an autonomous localization unit in European Train Control System.
J. Intell. Transp. Syst., 2019

Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process.
Proceedings of the 6th International Conference on Control, 2019

2018
New Methodology for Improving the Inspection Policies for Degradation Model Selection According to Prognostic Measures.
IEEE Trans. Reliab., 2018

Model selection for degradation modeling and prognosis with health monitoring data.
Reliab. Eng. Syst. Saf., 2018

2017
A New Analytical Approach to Evaluate the Critical-Event Probability Due to Wireless Communication Errors in Train Control Systems.
IEEE Trans. Intell. Transp. Syst., 2017

Acquisition of new technology information for maintenance and replacement policies.
Int. J. Prod. Res., 2017

2015
Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system.
Reliab. Eng. Syst. Saf., 2015

Analytical approach for evaluating LTE communication errors in train control application.
Proceedings of the IEEE International Conference on Communication, 2015

2014
Maintaining a system subject to uncertain technological evolution.
Reliab. Eng. Syst. Saf., 2014

Modelling Communication Based Train Control System for Dependability Analysis of the LTE Communication Network in Train Control Application.
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014

2013
Dependability evaluation of a GNSS and ECS based localisation unit for railway vehicles.
Proceedings of the 13th International Conference on ITS Telecommunications, 2013


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