JOSE BELARMINO
PULIDO JUNQUERA
PROFESORES TITULARES DE UNIVERSIDAD
ANIBAL
BREGON BREGON
PROFESORES TITULARES DE UNIVERSIDAD
Publicacions en què col·labora amb ANIBAL BREGON BREGON (44)
2023
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Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points
Engineering Applications of Artificial Intelligence, Vol. 122
2021
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The artificial intelligence approach to model-based diagnosis
Diagnosis and Fault-tolerant Control 1: Data-driven and Model-based Fault Diagnosis Techniques (wiley), pp. 197-229
2019
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A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs
IEEE Access, Vol. 7, pp. 102160-102173
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Case Studies and Modeling Formalism
Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches (Springer International Publishing), pp. 17-40
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Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches
Springer International Publishing, pp. 1-462
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Preface
Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches
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State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems
Engineering Applications of Artificial Intelligence, Vol. 79, pp. 67-86
2018
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Hybrid bond-graph possible conflicts for hybrid systems fault diagnosis
Fault Diagnosis of Hybrid Dynamic and Complex Systems (Springer International Publishing), pp. 123-152
2016
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A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition
Engineering Applications of Artificial Intelligence, Vol. 53, pp. 190-206
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DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts
Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 111-120
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Faster and more accurate FDI for hybrid systems using hybrid possible conflicts
Conference on Control and Fault-Tolerant Systems, SysTol
2015
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Characterizing and computing HBG-PCs for hybrid systems fault diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Improving fault isolation and identification for hybrid systems with Hybrid Possible Conflicts
CEUR Workshop Proceedings
2014
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A common framework for compilation techniques applied to diagnosis of linear dynamic systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 44, Núm. 7, pp. 863-876
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An event-based distributed diagnosis framework using structural model decomposition
Artificial Intelligence, Vol. 210, Núm. 1, pp. 1-35
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Integration of simulation and state observers for online fault detection of nonlinear continuous systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 44, Núm. 12, pp. 1553-1568
2013
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A common framework for fault diagnosis of parametric and discrete faults using possible conflicts
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A structural model decomposition framework for systems health management
IEEE Aerospace Conference Proceedings
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An efficient model-based diagnosis engine for hybrid systems using structural model decomposition
PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013
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Efficient generation of minimal dynamic Bayesian Networks for hybrid systems fault diagnosis using hybrid possible conflicts
PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013