TURBOLID: Time Use in A Rule Based On Line Industrial Diagnoser. - Carlos Alonso González; Belarmino Pulido Junquera; G. Acosta Lazo (IEA/AIE, 1996)

On Line Industrial Diagnosis: An Attempt to Apply Artificial Intelligence Techniques to Process Control. - Carlos Alonso González; Belarmino Pulido Junquera; Gerardo G. Acosta (IEA/AIE (Vol. 1), 1998)

An Alternative Approach to Dependeny-Recording Engines in Consistency-Based Diagnosis. - Belarmino Pulido Junquera; Carlos Alonso González (AIMSA, 2000)

Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models. - Belarmino Pulido Junquera; Carlos Alonso González; Luis Felipe Acebes Arconada (IEA/AIE, 2001)

Revision del concepto de posible conflicto como tecnica de pre-compilacion. - Belarmino Pulido Junquera; Carlos Alonso González (Inteligencia Artif., 2001)

Presentacion Monografia: Diagnosis, Razonamiento Cualitativo y Sistemas Socioeconómicos. - Juan Antonio Ortega-Ramírez; Carlos Alonso González; Belarmino Pulido Junquera (Inteligencia Artif., 2001)

On-line industrial supervision and diagnosis, knowledge level description and experimental results. - Carlos Alonso González; Belarmino Pulido Junquera; G. Acosta Lazo; César Llamas (Expert Syst. Appl., 2001)

Diagnosis de Sistemas Dinámicos: Un Modelo de Conocimiento que Permite Integrar la Evolución del Sistema en el Proceso de Diagnosis. - Carlos J. Alonso-González; César Llamas; José A. Maestro; Belarmino Pulido (Computación y Sistemas, 2002)

Enhancing Consistency Based Diagnosis with Machine Learning Techniques. - Carlos J. Alonso; Juan José Rodríguez; Belarmino Pulido Junquera (CAEPIA, 2003)

Diagnosis of Dynamic Systems: A Knowledge Model That Allows Tracking the System during the Diagnosis Process. - Carlos J. Alonso; César Llamas; José A. Maestro; Belarmino Pulido Junquera (IEA/AIE, 2003)

Possible conflicts: a compilation technique for consistency-based diagnosis. - Belarmino Pulido Junquera; Carlos Alonso González (IEEE Trans. Syst. Man Cybern. Part B, 2004)

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 New Fault Diagnosis Algorithm that Improves the Integration of Fault Detection and Isolation. - Vicenç Puig; Frank Schmid; Joseba Quevedo; Belarmino Pulido (CDC/ECC, 2005)

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)

Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition. - Carlos J. Alonso-González; Juan José Rodríguez; Oscar J. Prieto; Belarmino Pulido Junquera (IEA/AIE (2), 2010)

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)

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 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)

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)

Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings. - Desirée Arias-Requejo; Belarmino Pulido; Marcus M. Keane; Carlos J. Alonso-González (IEEE Access, 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)