Saltar al contenido

Andres Bustillo Iglesias

Andrés Bustillo Iglesias

LÍNEAS DE INVESTIGACIÓN

Mis principales líneas de investigación en la actualidad son:

Aplicaciones de minería de datos al diagnóstico de fallos en equipos industriales

Realidad Virtual aplicada al aprendizaje y entrenamiento en entornos académicos e industriales

Aplicaciones basadas en aprendizaje automático a la optimización de procesos de fabricación

TRABAJOS DE INVESTIGACIÓN

Los trabajos fundamentales en los que he participado se pueden encontrar en Scopus con un índice de difusión o h-index de 25.

Virtual Reality (London)
0
International Journal Of Advanced Manufacturing Technology
0
Journal of Intelligent Manufacturing
0

A continuación se recogen los principales resultados de los trabajos de investigación en los que he participado en los últimos 8 años:

Rodriguez-Garcia, B.; Ramírez-Sanz, J.M.; Miguel-Alonso, I.; Bustillo, A. Enhancing Learning of 3D Model Unwrapping through Virtual Reality Serious Game: Design and Usability Validation. Electronics 2024, 13, 1972. https://doi.org/10.3390/electronics13101972

Rodriguez-Garcia, B., Guillen-Sanz, H., Checa, D. Bustillo. A. A systematic review of virtual 3D reconstructions of Cultural Heritage in immersive Virtual Reality. Multimedia Tools and Applications (2024). https://doi.org/10.1007/s11042-024-18700-3

Maestro-Prieto, J., Ramírez-Sanz, J., Bustillo, A., J.J. Rodríguez. Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults. Applied Intelligence (2024). https://doi.org/10.1007/s10489-024-05373-6

Guillen-Sanz, H., Checa, D., Miguel-Alonso, I.  Bustillo, A. A systematic review of wearable biosensor usage in immersive virtual reality experiences. Virtual Reality 28, 74 (2024).

Miguel-Alonso, I., Checa, D., Guillen-Sanz, H. Bustillo A., Evaluation of the novelty effect in immersive Virtual Reality learning experiences. Virtual Reality 28, 27 (2024). https://doi.org/10.1007/s10055-023-00926-5

Ramírez-Sanz, J.M., Maestro-Prieto J.A., Arnaiz-González A., Bustillo A., Semi-supervised learning for industrial fault detection and diagnosis: A systemic review, ISA Transactions 143 (2023) 255–270, https://doi.org/10.1016/j.isatra.2023.09.027.

Pimenov D.Y., Bustillo A., Wojciechowski S., Sharma V.S., Gupta M.K., Kuntoğlu M., Artificial Intelligence Systems for Tool Condition Monitoring in Machining: Analysis and Critical Review, Journal of Intelligent Manufacturing (2023) 34:2079–2121. https://doi.org/10.1007/s10845-022-01923-2

Martinez, K.; Checa, D.; Bustillo, A. Development of the Engagement Playability and User eXperience (EPUX) Metric for 2D-Screen and VR Serious Games: A Case-Study Validation of Hellblade: Senua’s Sacrifice. Electronics 2024, 13, 281.

Romero P.E., Barrios J.M., Molero E., Bustillo A., Tuning 3D-printing parameters to produce vertical ultra-hydrophobic PETG parts with low ice adhesion: A food industry case study, Proc IMechE Part B: J Engineering Manufacture, 1–9, 2023, DOI: 10.1177/09544054231178.

Checa, G. Urbikain, A. Beranoagirre, A. Bustillo, L. N. López de Lacalle, Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations, International Journal of Computer Integrated Manufacturing (2022), 1-21, doi: 10.1080/0951192X.2022.2027020

Checa, I. Miguel-Alonso, A. Bustillo, Immersive virtual-reality computer-assembly serious game to enhance autonomous learning, Virtual Reality (2023) 27:3301–3318. DOI: 10.1007/s10055-021-00607-1

Miguel-Alonso, I.; Rodriguez-Garcia, B.; Checa, D.; Bustillo, A. Countering the Novelty Effect: A Tutorial for Immersive Virtual Reality Learning Environments. Appl. Sci. 2023, 13, 593. https://doi.org/10.3390/app13010593

Checa, J. J. Saucedo-Dorantes, R. A. Osornio-Rios, J. A. Antonino-Daviu, A. Bustillo, Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors. Applied Science, 2022, 12, 414.

Martinez,,K.,  M. I. Menéndez-Menéndez, and A. Bustillo. 2022. A New Measure for Serious Games Evaluation: Gaming Educational Balanced (GEB) Model, Applied Sciences 12, no. 22: 11757. https://doi.org/10.3390/app122211757

Martinez, M. I. Menéndez-Menéndez, A. Bustillo, A systematic review of serious games for children and adolescents: awareness, prevention, detection and therapy for depression and anxiety. JMIR Serious Games. 9(4), 2021, Oct-Dec. e30482, 1-19 doi: 10.2196/30482.

Checa, K. Martínez, R. A. Osornio-Rios, A. Bustillo, Virtual Reality opportunities in the reduction of occupational hazards in industry 4.0. DYNA, 2021, 96(6), 620-626.

Cerro, P. E. Romero, O. Yigit, A. Bustillo, Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling, The International Journal of Advanced Manufacturing Technology, 2021, 115, 2465-2475. 

Bustillo, D.Y. Pimenov, M. Mia, W. Kaplonek, Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth. Journal of Intelligent Manufacturing, 2021, 32, 895-912.

Bustillo, R. Reis, A.R. Machado, D.Y. Pimenov, Improving the accuracy of machine-learning models with data from machine test repetitions. Journal of Intelligent Manufacturing, 2022, 33(1), 203-221.

Diez-Pastor J.F., A. Gil Del Val, F. Veiga, A. Bustillo, High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning, Measurement, 2021, 168,108328.

Checa, A. Bustillo, A review of immersive virtual reality serious games to enhance learning and training, Multimedia Tools and Applications, 2020, 79(9), 5501-5527.

Checa, A. Bustillo, Advantages and limits of virtual reality in learning processes: Briviesca in the fifteenth century, Virtual Reality London, 2020, 24(1), 151-161.

Juez-Gil, I. N. Erdakov, A. Bustillo, D. Y. Pimenov, A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimesJournal of Advanced Research, 2019, 18, 173-184

Beranoagirre , G. Urbikain, R. Marticorena, A. Bustillo, L. N. Lopez de Lacalle, Sensitivity Analysis of Tool Wear in Drilling of Titanium Aluminides, Metals, 2019, 9(3), 297.

Y. Pimenov, A. Hassui, S. Wojciechowski, M. Mia, A. Magri, D. I. Suyama, A. Bustillo, G. Krolczykand, M. K. Gupta, Effect of the Relative Position of the Face Milling Tool towards the Workpiece on Machined Surface Roughness and Milling Dynamics, Applied Science, 2019, 9(5), 842.

Checa, J. Zulaika, I. Lazkanotegi, A. Bustillo, Machining optimization of large casting components by remote monitoring and 3D visualization techniques, Dyna, 2018, 93(6), 668-674.

Bustillo, G. Urbikain, J. M. Perez, O. M. Pereira, L. N. Lopez de Lacalle, Smart optimization of a friction-drilling process based on boosting ensembles, Journal of Manufacturing Systems, 2018, 48, 108-121.

Oleaga, C. Pardo, J. J. Zulaika, A. Bustillo, A machine-learning based solution for chatter prediction in heavy-duty milling machines, Measurement, 2018, 128, 34-44.

Bustillo, D.Yu. Pimenov, M. Matuszewski, T. Mikolajczyk, Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels, Robotics and Computer-Integrated Manufacturing 2018, 53, 215-227.

Grzenda, A. Bustillo, Semi-supervised roughness prediction with partly unlabeled vibration data streams, Journal of Intelligent Manufacturing 2019, 30, 933-945.

D.Y. Pimenov, A. Bustillo, T. Mikolajczyk, Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth, Journal of Intelligent Manufacturing, 2018 29(5), 1045-1061.

Santos, J. Maudes, A. Bustillo, Identifying maximum imbalance in datasets for fault diagnosis of Gearboxes, Journal of Intelligent Manufacturing, 2018, 29(2), 333-351.

Mikolajczyk, H. Fuwen, L. Moldovan, A. Bustillo, M. Matuszewski, K. Nowicki, Selection of machining parameters with Android application made using MIT App Inventor bookmarks, Procedia Manufacturing, 2018, 22, 172-179.

Mikoajczyk, K. Nowicki, A. Bustillo, D. Yu Pimenov, Predicting tool life in turning operations using neural networks and image processing, Mechanical Systems and Signal Processing, 2018, 104, 503-513.

Maudes, A. Bustillo, A.J. Guerra, J. Ciurana, Random Forest ensemble prediction of stent dimensions in microfabrication processes, The International Journal of Advanced Manufacturing Technology, 2017, 91(1), 879-893.

Rodríguez, G. Quintana, A. Bustillo & J. Ciurana, A decision-making tool based on decision trees for roughness prediction in face milling, International Journal of Computer Integrated Manufacturing, 2017, 30(9), 943-957.

Palasciano, A. Bustillo, P. Fantini, M. Taisch, A new approach for machine´s management: from machine´s signal acquisition to energy indexes, Journal of Cleaner Production, 2016, 137, 1503-1515.

Bustillo, L.N. López de Lacalle, A. Fernández-Valdivielso, P. Santos, Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components, Journal of Computational Design and Engineering, 2016, 3, 337-348.

Bustillo, M. Grzenda, B. MacukowInterpreting tree-based prediction models and their data in machining processes, Integrated Computer-Aided Engineering, 2016, 23(4), 349-367, DOI: 10.3233/ICA-160513

Bustillo, M. Alaguero, I. Miguel, J. M. Saiz, L. S. Iglesias, A flexible platform for the creation of 3D semi-immersive environments to teach Cultural Heritage, Digital Applications in Archaeology and Cultural Heritage 2015, 2(4), 248-259,  DOI:10.1016/j.daach.2015.11.002.

Arnaiz-Gonzalez, A. Fernandez-Valdivielso, A. Bustillo, L. N. Lopez de Lacalle, Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling, International Journal of Advanced Manufacturing Technology, 2016, 83(5), 847-859.

Santos, L. F. Villa, A. Reñones, A. Bustillo, J. Maudes, An SVM-based solution for fault detection in wind turbines, Sensors, 15, 2015, 5627-5648.

Bustillo, J. J. Rodriguez, Online breakage detection of multitooth tools using classifier ensembles for imbalanced data, International Journal of Systems Science, 2014, 45(12), 2590-2602.

Bustillo, I. Oleaga,, J. J. Zualika, N. Loix, New methodology for the design of ultra-light structural components for machine-tools, International Journal of Computer Integrated Manufacturing, 2015, 28(4), 339-352.

Teixidor, M. Grzenda, A. Bustillo, J. Ciurana, Modeling pulsed laser micromachining of micro geometries using machine-learning TechniquesJournal of Intelligent Manufacturing, 2015, 26(4), 801-814.

Gorrotxategui, E. Porras, A. Bustillo, Nuevas propuestas para el mecanizado ecológico de componentes de titanio aeronáutico, Técnica y Tecnología, Septiembre 2013, 32-38.

Grzenda, A. Bustillo, The Evolutionary Development of Roughness Prediction Models, Applied Soft Computing, 13(5), 2013, 2913-2922.

Quintana, A. Bustillo, J. Ciurana, Prediction, monitoring and control of surface roughness in high-torque milling machine operations, International Journal of Computer Integrated Manufacturing, 25(12), 2012, 1129-1138.

Gajate, A. Bustillo, R. E. Haber, Transductive neurofuzzy-based torque control of a milling process: results of a case study, International Journal of Innovative, Computing, Information and Control, 8(5), 2012, 3495-3510.

Grzenda, A. Bustillo, P. Zawistowski, A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling, Journal of Intelligent Manufacturing, 23(5), 2012, 1733-1743.

Bustillo, M. Correa, Using artificial intelligence to predict surface roughness in deep drilling of Steel Components, Journal of Intelligent Manufacturing, 23(5), 2012, 1893-1902.

F. Díez-Pastor, A. Bustillo, G. Quintana and C. García-Osorio, Boosting Projections to improve surface roughness prediction in high-torque milling operationsSoft Computing, 16(8), 2012, 1427-1437.

Gajate, R. E. Haber, R. M. del Toro-Matamoros, P. Vega, A. Bustillo, Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process, Journal of Intelligent Manufacturing, 23(3), 2012, 869-882.

Grzenda, A. Bustillo, G. Quintana and J. Ciurana, Improvement of surface roughness models for face milling operations through dimensionality reduction, Integrated Computer-Aided Engineering, 19(2), 2012, 179-197.

Reñones, A. Bustillo, G. Quintana, S. Saludes¿Qué pueden hacer los sensores inteligentes en una planta de fabricación? Industria Metalmecánica 217 Época 2ª – Nº 911 / Abril 2012, 76-83.

Bustillo, J.F. Díez-Pastor, G. Quintana and C. García-OsorioAvoiding neural network fine tuning by using ensemble learning: application to ball-end milling operations, The International Journal of Advanced Manufacturing Technology, 57(5), 2011, 521-532.

Bustillo, L. M. Plaza, M. RodriguezNew Strategy for the Optimal Design and Manufacture of High Performance Milling Heads, Revista de Metalurgia, 47 (6), 2011, 462-476.

Bustillo, E. Ukar, J. J. Rodriguez, A. Lamikiz Modelling of process parameters in laser polishing of steel components using ensembles of regression trees, International Journal of Computer Integrated Manufacturing, 24(8), 2011, 735-747.

Bustillo, M. Correa, A. Reñones, A virtual sensor for online fault detection of multitooth-tools, Sensors, 11, 2011, 2773-2795.

Yagüe, R. Rodríguez, J. A. García, A. Bustillo, F. Garciandía, F. Zubiri, Estudio del efecto de tratamientos dúplex temple laser + PVD en aceros de herramientas, TRATER Press, 11, 31-35, Junio 2009.

Bustillo, N. López de Lacalle, Nada de tecnología ficción. La inteligencia en las máquinas, algo más que un atractivo enunciado, IMHE, Información de máquinas-Herramienta, equipos y accesorios, Nº 360, 103-119, Mayo 2009.

M. del Toro-Matamoros, R. E. Haber, J. Pamies, A. Bustillo, Modelado y simulación del proceso de fresado a alta velocidad en MATLAB-SIMULINK, Revista de Metalurgia, 44(2), 2008, 176-188.

Norberto López de Lacalle, Andres Bustillo, Mecanizado a alta velocidad. Una imagen del presente,IMHE, Información de máquinas-Herramienta, equipos y accesorios, Septiembre 2008, 29-42.  nº 351.

Sekler , A. Dietmair, A. Dadalau , H. Rüdele , J. Zulaika, J. Smolik, A. Bustillo, “Energy Efficient Machine by Means of Mass Reduction”, W T Werkstattstechnik-Forschung und Entwicklung fur die Produktion, Vol 5 (2007), 320-327, Junio 2007.

Dietmair, P. Sekler, J. Larrañaga, J. Sveda, M. Sulitka, A. Bustillo, Vibration reduction for production machines, W T Werkstattstechnik-Forschung und Entwicklung fur die Produktion, Vol 5 (2007), 307-313, Junio 2007.

Ramirez, J.R Alique, A. Bustillo Dispositivo para la Evaluación y Diagnóstico del Estado del Cabezal en Centros de Mecanizado de Alta VelocidadInf. tecnol., 2006, vol.17, no.4, p.23-28. ISSN 0718-0764.

D. Checa, G. Urbikain, A. Beranoagirre, A. Bustillo, L. N. López de Lacalle, Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations, International Journal of Computer Integrated Manufacturing (2022), 1-21, doi: 10.1080/0951192X.2022.2027020

D. Checa, I. Miguel-Alonso, A. Bustillo, Immersive virtual-reality computer-assembly serious game to enhance autonomous learning, Virtual Reality (2021). DOI: 10.1007/s10055-021-00607-1

D. Checa, J. J. Saucedo-Dorantes, R. A. Osornio-Rios, J. A. Antonino-Daviu, A. Bustillo, Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors. Applied Science, 2022, 12, 414

K. Martinez, M. I. Menéndez-Menéndez, A. Bustillo, A systematic review of serious games for children and adolescents: awareness, prevention, detection and therapy for depression and anxiety. JMIR Serious Games. 9(4), 2021, Oct-Dec. e30482, 1-19 doi: 10.2196/30482

D. Checa, G. Urbikain, A. Beranoagirre, A. Bustillo, L. N. López de Lacalle, Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations, International Journal of Computer Integrated Manufacturing (2022), 1-21, doi: 10.1080/0951192X.2022.2027020

D. Checa, I. Miguel-Alonso, A. Bustillo, Immersive virtual-reality computer-assembly serious game to enhance autonomous learning, Virtual Reality (2021). DOI: 10.1007/s10055-021-00607-1

D. Checa, J. J. Saucedo-Dorantes, R. A. Osornio-Rios, J. A. Antonino-Daviu, A. Bustillo, Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors. Applied Science, 2022, 12, 414

K. Martinez, M. I. Menéndez-Menéndez, A. Bustillo, A systematic review of serious games for children and adolescents: awareness, prevention, detection and therapy for depression and anxiety. JMIR Serious Games. 9(4), 2021, Oct-Dec. e30482, 1-19 doi: 10.2196/30482

D. Checa, K. Martínez, R. A. Osornio-Rios, A. Bustillo, Virtual Reality opportunities in the reduction of occupational hazards in industry 4.0. DYNA, 2021, 96(6), 620-626

A. Cerro, P. E. Romero, O. Yigit, A. Bustillo, Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling, The International Journal of Advanced Manufacturing Technology, 2021, 115, 2465-2475

Alaguero, A. Bustillo, B. Guinea, L. Iglesias, «The virtual reconstruction of a small medieval town: the case of Briviesca (Spain)«, CAA2014 21st Century Archaeology, Concepts, Methods and Tools. Proceedings of the 42nd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, Archaeopress, 2015, 575-584, ISBN 978 1 78491 100 3.

Bustillo, I. Miguel, L. S. Iglesias and A. M. Peña, «Teaching Cultural Heritage and 3D Modelling through a Virtual Reconstruction of a Medieval Charterhouse«, Archaeology in the Digital Era Volume II, e-Papers from the 40th Conference on Computer Applications and Quantitative Methods in Archaeology, Amsterdam University Press, Amsterdam 2013, pgs. 146-155, e-ISBN 978 90 4852 728 1.

Bustillo, L. Martínez, M. Alaguero, L.S. Iglesias, «The Church of the Charterhouse of Miraflores in Burgos: Virtual Reconstruction of Artistic Imagery«, CAA2010 Fusion of Cultures. Proceedings of the 38th Annual Conference on Computer Applications and Quantitative Methods in Archaeology, BAR S2494: 55-62. ISBN 978 1 4073 1108 1.

J. Sedano, J. Villar, L. Curiel, E. Corchado, A. Bustillo, “A Soft Computing System for Modelling the Manufacture of Steel Components” , Soft Computing Methods for Practical Environmental Solutions: Techniques and Studies . M. Gestal Pose, D. Rivero Cebrián (eds), . Editorial IGI Global. Hershey (EEUU). 2010 ISBN 978-1-61520-893-7, pags. 127-141

Intelligent device and method for compensating for ram sag in machine tools

Inventors: Andrés Bustillo Iglesias, Maritza Correa Valencia, Rodolfo Elias Haber Guerra.

Ref. Num. WO 2011048231 A1

Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing and Ambient Assisted Living”, S. Omatu, M.P. Rocha, J. Bravo, F. Fernández-Riverola, E. Corchado, A. Bustillo, J.M. Corchado, (Eds.) 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II

Ramírez-Sanz, J.M., Peña-Alonso, H.M., Serrano-Mamolar, A., Arnaiz-González, Á., Bustillo, A. (2023). Detection of Stress Stimuli in Learning Contexts of iVR Environments. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2023. Lecture Notes in Computer Science, vol 14219. Springer.

Alvarado-Hernandez, A.I., Checa, D., Osornio-Rios, R.A., Bustillo, A., Antonino-Daviu, J.A., Design and Development of Virtual Reality Application Based on Infrared Thermography for the Detection of Multiple Faults in Kinematic Chains, 2022, 2022 International Conference on Electrical Machines, ICEM 2022, pp. 1569-1575.

D. Checa, A. Bustillo, J. J. Saucedo-Dorantes, R. A. Osornio-Rios and I. A. Cruz-Albarran, «Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors,» IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589126.

Martinez, M.I. Menéndez-Menéndez, A. Bustillo, Considering User Experience Parameters in the Evaluation of VR Serious Games, L. T. De Paolis and P. Bourdot (Eds.): Augmented Reality, Virtual Reality and Computer Graphics. 7th International Conference, AVR 2020, Lecture Notes in Computer Science 12242, 186-193, 2020.

Checa, C. Gatto, D. Cisternino, L.T. De Paolis, A. Bustillo, A Framework for Educational and Training Immersive Virtual Reality Experiences, L. T. De Paolis and P. Bourdot (Eds.): Augmented Reality, Virtual Reality and Computer Graphics. 7th International Conference, AVR 2020, Lecture Notes in Computer Science 12243, 220-228, 2020.

Checa, L. Ramon, A. Bustillo, «Virtual Reality travel training simulator for people with intellectual disabilities«, Augmented Reality, Virtual Reality and Computer Graphics. 6th International Conference, AVR 2019 Santa Maria al Bagno, Italy, June 24-27, 2019 Proceedings, Part II, Lecture Notes in Computer Science 11614. 385- 393

Guinea, M. Alaguero, F. Melgosa, A. Bustillo, «Using a Short Video Animation to Assist with the Diagnosis of Sleep Disorders in Young Children«, Augmented Reality, Virtual Reality, and Computer Graphics, Third International Conference, AVR 2016, Lecce, Italy, June 15-18, 2016. Proceedings, Part II, Lecture Notes in Computer Science (LNCS) 9769, 13-29.

Checa, M. Alaguero, M. A. Arnaiz, A. Bustillo, «Briviesca in the 15th c.: a virtual reality environment for teaching purposes«, Augmented Reality, Virtual Reality, and Computer Graphics, Third International Conference, AVR 2016, Lecce, Italy, June 15-18, 2016. Proceedings, Part II, Lecture Notes in Computer Science (LNCS) 9769, 126-138.

Bustillo, J. Nègre, I. Lazcanotegui, «Towards higher machine-tool eco-efficiency with an Information Sharing Platform«, Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), 7540-7545, Vienna (Austria), 10-14 November 10-14, 2013.

Santos, J. Maudes, A. Bustillo, J. J. Rodríguez, «Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques, Recent Trends in Applied Artificial Intelligence, Lecture Notes in Computer Science Volume 7906, 2013, pp 664-673 , 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013.

Santos, P., L. F. Villa, A. Reñones, A. Bustillo, J. Maudes, «Wind turbines fault diagnosis using ensemble classifiers» Advances in Data Mining. Applications and Theoretical Aspects, 7377, 67-76, 12th Industrial Conference (ICDM 2012), Berlin (Germany), 18-21th  July 2012

Bustillo, I. Miguel, L. S. Iglesias, A. M. Peña, L. Martinez, «Teaching Cultural Heritage and 3D Modelling through a Virtual Reconstruction of a late Middle-Age Church» 40th Conference on Computer Applications and Quantitative Methods in Archaeology CAA´2012 27-29 March 2012, Southampton (UK)

Bustillo, L. Martínez, M. Alaguero, L. S. Iglesias, “The Church of the Charterhouse of Miraflores in Burgos: Virtual reconstruction of artistic imagery”, Fusion of Cultures: Abstracts of the XXXVIII Conference on Computer Applications and Quantitative Methods in Archaeology CAA´2010 6-9 Abril 2010, Granada (Spain), 425-429, ISBN: 978-84-693-0772-4

Dietmair, J.J. Zulaika, M. Sulitka, A. Bustillo, A. Verl, «Lifecycle impact reduction and energy savings through light weight eco-design of machine tools». In: 17th CIRP International Conference on Life Cycle Engineering, Hefei, China. 105-110, 2010.

Redondo, P. Santos, A. Bustillo, J. Sedano, J. R. Villar, M. Correa, J. R. Alique, E. Corchado: “A Soft Computing System to Perform Face Milling Operations”. 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II. Lecture Notes in Computer Science 5518 Springer 2009, ISBN 978-3-642-02480-1, 1282-1291

Caballero, D. Martin, A. Bustillo, R. Haber, “Networked Supervision of a Fuzzy Control System. A Case Study On A High-Performance Milling Process”, 163-167, Proceedings of the 5th International Conference on Impulsive & Hybrid Dynamical Systems and Applications (May 9-11, 2008 Beijing, China)

Bustillo, J. Sedano. J.R. Villar, L. Curiel y E. Corchado «AI for Modelling the Laser Milling of Copper Components». Intelligent Data Engineering and Automated Learning – IDEAL 2008. Fyfe, C.; Kim, D.; Lee, S.-Y.; Yin, H. (Eds.) Springer – Lecture Notes in Computer Science, 5326, 498-507, 2008. ISBN: 978-3-540-88905-2  

Bustillo, J. Sedano, J. R. Villar, L. Curiel, E. Corchado, «Conventional Methods and AI models for Solving an Industrial an Industrial Problem,» EMS, 317-322, 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 2008

Haber, M. Schmittdiel, A. Alique, A. Bustillo, R. Galan, Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process. Computational and Ambient Intelligence, Lectures Notes in Computer Science, 4507, 391-398, S. Sebastian (Spain), June 2007

Yagüe, R. Rodríguez, J. A. García, A. Bustillo, F. Garciandía y F. Zubiri.Estudio del efecto de tratamientos DUPLEX temple láser + PVD en aceros de herramientas.XI Congreso Nacional de Tratamientos Térmicos y de Superficie (TRATERMAT 2008, Valencia, Marzo 2008). Actas del Congreso, pág. 437-444.

Análisis de datos utilizando modelos conexionistas para la optimización del proceso de aporte láser en 5 ejes para la reparación de grandes moldes

Entidad / Administración financiadora: Nicolás Correa S.A.

Importe (en euros): 10.000 €

Entidades participantes: Universidad de Burgos

Duración: Desde marzo del 2008 hasta diciembre del 2008

Investigadores participantes (señalar IP): Andres Bustillo Iglesias

Tipo de proyecto: Contrato Artículo 83

 

Análisis de datos utilizando modelos conexionistas para la optimización del funcionamiento de prototipo de eje X de fresadora MECAFLEX

Entidad / Administración financiadora: Nicolás Correa S.A.

Importe (en euros): 12.500 €

Entidades participantes: Universidad de Burgos

Duración: Desde enero del 2008 hasta junio del 2009

Investigadores participantes (señalar IP): Andres Bustillo Iglesias

 

es_ESSpanish