Fernando Castano
Fernando Castano
Centre for Automation and Robotics
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A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins
A Villalonga, E Negri, G Biscardo, F Castano, RE Haber, L Fumagalli, ...
Annual Reviews in Control 51, 357-373, 2021
Towards ‘Lean Industry 4.0 ʹ–Current trends and future perspectives
K Ejsmont, B Gladysz, D Corti, F Castaño, WM Mohammed, ...
Cogent Business & Management 7 (1), 1781995, 2020
Digital twin-based optimization for ultraprecision motion systems with backlash and friction
RH Guerra, R Quiza, A Villalonga, J Arenas, F Castano
IEEE Access 7, 93462-93472, 2019
Cloud-based industrial cyber–physical system for data-driven reasoning: A review and use case on an industry 4.0 pilot line
A Villalonga, G Beruvides, F Castano, RE Haber
IEEE Transactions on Industrial Informatics 16 (9), 5975-5984, 2020
Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes
G Beruvides, F Castaño, R Quiza, RE Haber
Measurement 86, 246-252, 2016
Obstacle recognition based on machine learning for on-chip LiDAR sensors in a cyber-physical system
F Castaño, G Beruvides, RE Haber, A Artuñedo
Sensors 17 (9), 2109, 2017
Sensor reliability in cyber-physical systems using internet-of-things data: A review and case study
F Castaño, S Strzelczak, A Villalonga, RE Haber, J Kossakowska
Remote sensing 11 (19), 2252, 2019
Self-tuning method for increased obstacle detection reliability based on internet of things LiDAR sensor models
F Castaño, G Beruvides, A Villalonga, RE Haber
Sensors 18 (5), 1508, 2018
Towards the adoption of cyber-physical systems of systems paradigm in smart manufacturing environments
BR Ferrer, WM Mohammed, JLM Lastra, A Villalonga, G Beruvides, ...
2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018
Coping with complexity when predicting surface roughness in milling processes: Hybrid incremental model with optimal parametrization
G Beruvides, F Castaño, RE Haber, R Quiza, A Villalonga
Complexity 2017, 2017
Online detection of run out in microdrilling of tungsten and titanium alloys
G Beruvides, R Quiza, M Rivas, F Castaño, RE Haber
The International Journal of Advanced Manufacturing Technology 74, 1567-1575, 2014
Industrial cyber-physical system for condition-based monitoring in manufacturing processes
A Villalonga, G Beruvides, F Castaño, R Haber
2018 IEEE Industrial Cyber-Physical Systems (ICPS), 637-642, 2018
A self-learning strategy for artificial cognitive control systems
G Beruvides, C Juanes, F Castaño, RE Haber
2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015
Conductance sensing for monitoring micromechanical machining of conductive materials
F Castaño, RM del Toro, RE Haber, G Beruvides
Sensors and Actuators A: Physical 232, 163-171, 2015
Correlation of the holes quality with the force signals in a microdrilling process of a sintered tungsten-copper alloy
G Beruvides, R Quiza, R del Toro, F Castaño, RE Haber
International Journal of Precision Engineering and Manufacturing 15, 1801-1808, 2014
Local decision making based on distributed digital twin framework
A Villalonga, E Negri, L Fumagalli, M Macchi, F Castaño, R Haber
IFAC-PapersOnLine 53 (2), 10568-10573, 2020
Quality monitoring of complex manufacturing systems on the basis of model driven approach
F Castaño, RE Haber, WM Mohammed, M Nejman, A Villalonga, ...
A two-step machine learning approach for dynamic model selection: A case study on a micro milling process
YJ Cruz, M Rivas, R Quiza, RE Haber, F Castaño, A Villalonga
Computers in Industry 143, 103764, 2022
Condition-based monitoring architecture for CNC machine tools based on global knowledge
A Villalonga, G Beruvides, F Castaño, RE Haber, M Novo
IFAC-PapersOnLine 51 (11), 200-204, 2018
Characterization of tool-workpiece contact during the micromachining of conductive materials
F Castaño, RE Haber, RM del Toro
Mechanical Systems and Signal Processing 83, 489-505, 2017
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