B. Pulido

发表

Minimal Structurally Overdetermined sets for residual generation: A comparison of alternative approaches

M. Nyberg, X. Olive, L. Travé-Massuyès, 2009 .

Machine Learning and Model Based Diagnosis using Possible Conflicts and System Decomposition

B. Pulido, B. Pulido, C. González, 2008 .

DxPCs : An integrated package for model-based diagnosis of dynamic systems using Possible Conflicts

A. Bregón, B. Pulido, C. Alonso-González, 2015 .

A software tool for consistency-based diagnosis of dynamic systems using Possible Conflicts

A. Bregón, B. Pulido, C. Alonso-González, 2014 .

A Model-Decomposition Approach to Computing Most-Likely Diagnostics of Dynamic Systems

G. Provan, A. Bregón, B. Pulido, 2014 .

Efficient Generation of Minimal Dynamic Bayesian Networks for Hybrid Systems Fault Diagnosis using Hybrid Possible Conflicts

A. Bregón, B. Pulido, C. Alonso-González, 2013 .

Improving the Diagnostic Performance for Dynamic Systems through the use of Conflict-Driven Model Decomposition

G. Provan, A. Bregón, A. Feldman, 2013 .

Fault Detection and Isolation for Autonomous Parafoils

Chetan S. Kulkarni, J. Celaya, K. Goebel, 2013 .

Combination of Simulation and State Observers for Consistency-based Diagnosis

A. Bregón, B. Pulido, C. Alonso-González, 2009 .

Using structural decomposition methods to design gray-box models for fault diagnosis of complex industrial systems : a beet sugar factory case study

A. Merino, A. Bregón, B. Pulido, 2012 .

An alternative approach to dependency-recording engines in consistency-based diagnosis

Carlos J. Alonso, Belarmino Pulido, C. Alonso, 2000 .

DIAGNOSIS OF CONTINUOUS DYNAMIC SYSTEMS: INTEGRATING CONSISTENCY BASED DIAGNOSIS WITH MACHINE-LEARNING TECHNIQUES

Juan José Rodríguez Diez, Belarmino Pulido, Carlos Alonso González, 2005 .

Combination of analytical and statistical models for dynamic systems fault diagnosis

Anibal Bregon, Diego Garcia-Alvarez, Belarmino Pulido, 2010, Annual Conference of the PHM Society.

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

A. Bregón, B. Pulido, C. Alonso-González, 2023, Eng. Appl. Artif. Intell..

Case Studies and Modeling Formalism

Vicenç Puig, Teresa Escobet, Anibal Bregon, 2019 .

Model-Based Diagnosis by the Artificial Intelligence Community: The DX Approach

Carlos J. Alonso-González, Belarmino Pulido, B. Pulido, 2019, Fault Diagnosis of Dynamic Systems.

The Artificial Intelligence Approach to Model‐based Diagnosis

A. Bregón, B. Pulido, Carlos J. A lonso -G onzález, 2021, Diagnosis and Fault‐tolerant Control 1.

Basic tasks for knowledge-based supervision in process control

Carlos Alonso González, Gerardo G. Acosta, Belarmino Pulido, 2001 .

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

Carlos J. Alonso, Belarmino Pulido Junquera, Alberto Hernández, 2016, Progress in Artificial Intelligence.

Model-Based Diagnosis by the Artificial Intelligence Community: Alternatives to GDE and Diagnosis of Dynamic Systems

Carlos J. Alonso-González, Belarmino Pulido, B. Pulido, 2019, Fault Diagnosis of Dynamic Systems.