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 (CAEPIA, 2005)

A comparison of two machine-learning techniques to focus the diagnosis task. - Oscar J. Prieto; Aníbal Bregón (STAIRS, 2006)

Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems. - Carlos J. Alonso; Oscar J. Prieto; Juan José Rodríguez; Aníbal Bregón; Belarmino Pulido Junquera (CAEPIA, 2007)

Improving robustness in consistency-based diagnosis using possible conflicts. - Belarmino Pulido Junquera; Aníbal Bregón; Carlos Alonso González (ECAI, 2008)

Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation. - Belarmino Pulido Junquera; Aníbal Bregón; Carlos Alonso González (CAEPIA, 2009)

Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs. - Aníbal Bregón; Belarmino Pulido; Gautam Biswas; Xenofon D. Koutsoukos (ECMS, 2009)

Improving parameter estimation using minimal analytically redundant subsystems. - Diego García-Álvarez; Aníbal Bregón; Maria J. Fuente; Belarmino Pulido Junquera (CDC/ECC, 2011)

A Decomposition Method for Nonlinear Parameter Estimation in TRANSCEND. - Aníbal Bregón; Gautam Biswas; Belarmino Pulido (IEEE Trans. Syst. Man Cybern. Part A, 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 Common Framework for Fault Diagnosis of Parametric and Discrete Faults Using Possible Conflicts. - Noemi Moya Alonso; Aníbal Bregón; Carlos J. Alonso-González; Belarmino Pulido (CAEPIA, 2013)

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)

Distributed Prognostics Based on Structural Model Decomposition. - Matthew J. Daigle; Aníbal Bregón; Indranil Roychoudhury (IEEE Trans. Reliab., 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)

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)

Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis. - Belarmino Pulido; Carlos Alonso González; Aníbal Bregón; Alberto Hernández (CAEPIA, 2015)

Improving Fault Isolation and Identification for Hybrid Systems with Hybrid Possible Conflicts. - Aníbal Bregón; Carlos Alonso González; Belarmino Pulido (DX, 2015)

A Structural Model Decomposition Framework for Hybrid Systems Diagnosis. - Matthew J. Daigle; Aníbal Bregón; Indranil Roychoudhury (DX, 2015)

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)

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)

Towards a Scalable Architecture for Flight Data Management. - Iván García; Miguel A. Martínez-Prieto; Aníbal Bregón; Pedro C. Álvarez; Fernando Díaz (DATA, 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 (DX, 2017)

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)

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 non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing. - Álvaro García 002; Aníbal Bregón; Miguel A. Martínez-Prieto (Comput. Ind. Eng., 2022)

Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges. - Álvaro García 002; Aníbal Bregón; Miguel A. Martínez-Prieto (Comput. Ind. Eng., 2022)

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)

Towards aircraft trajectory prediction using LSTM networks. - Jorge Silvestre; Paula Mielgo; Aníbal Bregón; Miguel A. Martínez-Prieto; Pedro C. Álvarez-Esteban (SAC, 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)

Digital Twin Learning Ecosystem: A cyber-physical framework to integrate human-machine knowledge in traditional manufacturing. - Álvaro García 002; Aníbal Bregón; Miguel A. Martínez-Prieto (Internet Things, 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., 2024)