Aníbal Bregón

According to our database, Aníbal Bregón authored at least 30 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A deep learning-based approach for predicting in-flight estimated time of arrival.

Jorge Silvestre, Miguel A. Martínez-Prieto, Aníbal Bregón, Pedro C. Álvarez-Esteban

J. Supercomput., August, 2024

Digital Twin Learning Ecosystem: A cyber-physical framework to integrate human-machine knowledge in traditional manufacturing.

Álvaro García, Aníbal Bregón, Miguel A. Martínez-Prieto

Internet Things, April, 2024

Multi-Route Aircraft Trajectory Prediction Using Temporal Fusion Transformers.

Jorge Silvestre, Paula Mielgo, Aníbal Bregón, Miguel A. Martínez-Prieto, Pedro C. Álvarez-Esteban

IEEE Access, 2024

Towards aircraft trajectory prediction using LSTM networks.

Jorge Silvestre, Paula Mielgo, Aníbal Bregón, Miguel A. Martínez-Prieto, Pedro C. Álvarez-Esteban

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023

Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points.

Diego García-Álvarez, Aníbal Bregón, Belarmino Pulido, Carlos J. Alonso-González

Eng. Appl. Artif. Intell., 2023

2022

Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges.

Álvaro García, Aníbal Bregón, Miguel A. Martínez-Prieto

Comput. Ind. Eng., 2022

A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing.

Álvaro García, Aníbal Bregón, Miguel A. Martínez-Prieto

Comput. Ind. Eng., 2022

2019

State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems.

Belarmino Pulido, Jesús M. Zamarreño, Alejandro Merino Gómez, Aníbal Bregón

Eng. Appl. Artif. Intell., 2019

A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs.

Carlos J. Alonso-González, Belarmino Pulido, Mario Cartón, Aníbal Bregón

IEEE Access, 2019

2017

Autonomous vehicle traction subsystem modeling and diagnosis using BG-PCs.

Carlos J. Alonso-González, Aníbal Bregón, Belarmino Pulido, Matías A. Nacusse, Sergio J. Junco

Proceedings of the 28th International Workshop on Principles of Diagnosis (DX'17), 2017

Towards a Scalable Architecture for Flight Data Management.

Iván García, Miguel A. Martínez-Prieto, Aníbal Bregón, Pedro C. Álvarez, Fernando Díaz

Proceedings of the 6th International Conference on Data Science, 2017

2016

DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts.

Belarmino Pulido, Aníbal Bregón, Carlos J. Alonso-González, Alberto Hernández, David Rubio, Luis Miguel Villarroel

Prog. Artif. Intell., 2016

A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition.

Matthew J. Daigle, Aníbal Bregón, Xenofon D. Koutsoukos, Gautam Biswas, Belarmino Pulido

Eng. Appl. Artif. Intell., 2016

2015

A Structural Model Decomposition Framework for Hybrid Systems Diagnosis.

Matthew J. Daigle, Aníbal Bregón, Indranil Roychoudhury

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Improving Fault Isolation and Identification for Hybrid Systems with Hybrid Possible Conflicts.

Aníbal Bregón, Carlos Alonso González, Belarmino Pulido

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis.

Belarmino Pulido, Carlos Alonso González, Aníbal Bregón, Alberto Hernández

Proceedings of the Advances in Artificial Intelligence, 2015

2014

A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems.

Aníbal Bregón, Gautam Biswas, Belarmino Pulido, Carlos Alonso González, Hamed Khorasgani

IEEE Trans. Syst. Man Cybern. Syst., 2014

Integration of Simulation and State Observers for Online Fault Detection of Nonlinear Continuous Systems.

Aníbal Bregón, Carlos J. Alonso-González, Belarmino Pulido

IEEE Trans. Syst. Man Cybern. Syst., 2014

Distributed Prognostics Based on Structural Model Decomposition.

Matthew J. Daigle, Aníbal Bregón, Indranil Roychoudhury

IEEE Trans. Reliab., 2014

An event-based distributed diagnosis framework using structural model decomposition.

Aníbal Bregón, Matthew J. Daigle, Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos, Belarmino Pulido

Artif. Intell., 2014

2013

A Common Framework for Fault Diagnosis of Parametric and Discrete Faults Using Possible Conflicts.

Noemi Moya Alonso, Aníbal Bregón, Carlos J. Alonso-González, Belarmino Pulido

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Diagnosability Analysis Considering Causal Interpretations for Differential Constraints.

Erik Frisk, Aníbal Bregón, Jan Åslund, Mattias Krysander, Belarmino Pulido, Gautam Biswas

IEEE Trans. Syst. Man Cybern. Part A, 2012

A Decomposition Method for Nonlinear Parameter Estimation in TRANSCEND.

Aníbal Bregón, Gautam Biswas, Belarmino Pulido

IEEE Trans. Syst. Man Cybern. Part A, 2012

2011

Improving parameter estimation using minimal analytically redundant subsystems.

Diego García-Álvarez, Aníbal Bregón, Maria J. Fuente, Belarmino Pulido Junquera

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009

Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs.

Aníbal Bregón, Belarmino Pulido, Gautam Biswas, Xenofon D. Koutsoukos

Proceedings of the European Conference on Modelling and Simulation, 2009

Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation.

Belarmino Pulido Junquera, Aníbal Bregón, Carlos Alonso González

Proceedings of the Current Topics in Artificial Intelligence, 2009

2008

Improving robustness in consistency-based diagnosis using possible conflicts.

Belarmino Pulido Junquera, Aníbal Bregón, Carlos Alonso González

Proceedings of the ECAI 2008, 2008

2007

Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems.

Carlos J. Alonso, Oscar J. Prieto, Juan José Rodríguez, Aníbal Bregón, Belarmino Pulido Junquera

Proceedings of the Current Topics in Artificial Intelligence, 2007

2006

A comparison of two machine-learning techniques to focus the diagnosis task.

Oscar J. Prieto, Aníbal Bregón

Proceedings of the STAIRS 2006, 2006

2005

Early Fault Classification in Dynamic Systems Using Case-Based Reasoning.

Aníbal Bregón, María Aránzazu Simón Hurtado, Juan José Rodríguez, Carlos J. Alonso, Belarmino Pulido Junquera, Q. Isaac Moro

Proceedings of the Current Topics in Artificial Intelligence, 2005