Publications dans lesquelles il/elle collabore avec JOSE BELARMINO PULIDO JUNQUERA (44)

2021

  1. 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

  1. A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs

    IEEE Access, Vol. 7, pp. 102160-102173

  2. Case Studies and Modeling Formalism

    Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches (Springer International Publishing), pp. 17-40

  3. Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches

    Springer International Publishing, pp. 1-462

  4. Preface

    Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches

  5. 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

  1. 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

  1. 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

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

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 111-120

  3. Faster and more accurate FDI for hybrid systems using hybrid possible conflicts

    Conference on Control and Fault-Tolerant Systems, SysTol

2015

  1. 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)

  2. Improving fault isolation and identification for hybrid systems with Hybrid Possible Conflicts

    CEUR Workshop Proceedings

2014

  1. 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

  2. An event-based distributed diagnosis framework using structural model decomposition

    Artificial Intelligence, Vol. 210, Núm. 1, pp. 1-35

  3. 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

  1. 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)

  2. A structural model decomposition framework for systems health management

    IEEE Aerospace Conference Proceedings

  3. 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

  4. 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