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Belarmino Pulido
Belarmino Pulido
Profesor de Informática - Associate Professor (UVA)
Verified email at infor.uva.es
Title
Cited by
Cited by
Year
Possible conflicts: a compilation technique for consistency-based diagnosis
B Pulido, CA González
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
1942004
Minimal structurally overdetermined sets for residual generation: A comparison of alternative approaches
J Armengol, A Bregón, T Escobet, E Gelso, M Krysander, M Nyberg, ...
IFAC Proceedings Volumes 42 (8), 1480-1485, 2009
882009
State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems
B Pulido, JM Zamarreño, A Merino, A Bregon
Engineering Applications of Artificial Intelligence 79, 67-86, 2019
682019
Diagnosability analysis considering causal interpretations for differential constraints
E Frisk, A Bregon, J Aslund, M Krysander, B Pulido, G Biswas
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2012
682012
Fault diagnosis of dynamic systems
T Escobet, A Bregon, B Pulido, V Puig
Springer International Publishing, 2019
612019
An event-based distributed diagnosis framework using structural model decomposition
A Bregon, M Daigle, I Roychoudhury, G Biswas, X Koutsoukos, B Pulido
Artificial Intelligence 210, 1-35, 2014
572014
A decomposition method for nonlinear parameter estimation in TRANSCEND
A Bregon, G Biswas, B Pulido
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2011
552011
Analyzing the influence of differential constraints in Possible Conflict and ARR computation
B Pulido, A Bregón, CJ Alonso-González
Conference of the Spanish Association for Artificial Intelligence, 11-21, 2009
502009
Early fault classification in dynamic systems using case-based reasoning
A Bregón, MA Simón, JJ Rodríguez, C Alonso, B Pulido, I Moro
Current Topics in Artificial Intelligence: 11th Conference of the Spanish …, 2006
502006
A new fault diagnosis algorithm that improves the integration of fault detection and isolation
V Puig, F Schmid, J Quevedo, B Pulido
Proceedings of the 44th IEEE Conference on Decision and Control, 3809-3814, 2005
452005
Basic tasks for knowledge-based supervision in process control
G Acosta, CA González, B Pulido
Engineering Applications of Artificial Intelligence 14 (4), 441-455, 2001
372001
A common framework for compilation techniques applied to diagnosis of linear dynamic systems
A Bregon, G Biswas, B Pulido, C Alonso-Gonzalez, H Khorasgani
IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (7), 863-876, 2013
362013
On the integration of fault detection and isolation in model-based fault diagnosis
V Puig, J Quevedo, T Escobet, B Pulido
Proceedings of the 16th International Workshop on Principles of Diagnosis …, 2005
362005
Integration of simulation and state observers for online fault detection of nonlinear continuous systems
A Bregon, CJ Alonso-González, B Pulido
IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (12), 1553-1568, 2014
352014
An alternative approach to dependency-recording engines in consistency-based diagnosis
B Pulido, C Alonso
International Conference on Artificial Intelligence: Methodology, Systems …, 2000
342000
Enhancing consistency based diagnosis with machine learning techniques
CJ Alonso, JJ Rodríguez, B Pulido
Conference on Technology Transfer, 312-321, 2003
292003
Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs.
A Bregon, B Pulido, G Biswas, XD Koutsoukos
ECMS, 675-682, 2009
282009
Lessons learned from diagnosing dynamic systems using possible conflicts and quantitative models
B Pulido, C Alonso, F Acebes
Engineering of Intelligent Systems: 14th International Conference on …, 2001
222001
A structural model decomposition framework for systems health management
I Roychoudhury, M Daigle, A Bregon, B Pulido
2013 IEEE aerospace conference, 1-12, 2013
212013
Fault diagnosis in hybrid systems using possible conflicts
A Bregon, C Alonso, G Biswas, B Pulido, N Moya
IFAC Proceedings Volumes 45 (20), 132-137, 2012
202012
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