Diagnosis and Supervisory Control

- disco -


The DISCO team conducts broad-spectrum methodological research in the field of diagnostics and health monitoring of complex systems, a research theme at the frontier between Automatic Control and Artificial Intelligence.


Research activities of the DISCO team

Objectives and Methodology

The aim of the DISCO team is to develop broad-spectrum methodological research in the field of diagnostics. The fundamental principle of a diagnostic process is to confront the uncertain/certain observation of a real system.

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Machine learning for system diagnosis/prognosis

DISCO develops static classification methods with indicator extraction (normal, abnormal, healthy, sick, at fault, etc.) on populations of individuals using fuzzy logic and neural networks. A dynamic classification method, on the other hand, offers the possibility of learning dynamic behavioral states and detecting changes between these states, while also detecting new states. DISCO also contributes to the automatic learning of temporal models (such as chronicles) by exploiting temporal data mining techniques on system logs to discover temporally discriminable function classes.

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Analysis of diagnostic models using formal methods

Formal study of diagnostic properties (diagnosability, identifiability, etc.) in dynamic systems (discrete, continuous, hybrid).

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Development of diagnostic algorithms

The synthesis of diagnosers (diagnostic algorithms) is based on the existence of a model, a stream of observations and an objective level based on the knowledge derived from the model. This level of objective can range from the estimation of states to the synthesis of an explanation for the appearance of a fault.

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Integrating diagnosis and prediction for predictive maintenance Diagnostic/prognostic integration for predictive maintenance

Prognosis is increasingly used in industrial applications, particularly for predictive maintenance. Diagnosis and prognosis are highly correlated: diagnosis determines the set of faulty components explaining the observed malfunctions, while prognosis determines the future state of the components.

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Latest publications

2024

Journal articles

Ibis Velasquez, Yannick Pencolé, Euriell Le Corronc. Analysis and control of timed event graphs in (max,+) algebra for the active localization of time failures. Discrete Event Dynamic Systems, 2024, 34 (1), pp.53-93. ⟨10.1007/s10626-023-00391-x⟩. ⟨hal-04483570⟩

Ophélie Thomas- -Chemin, Childérick Séverac, Abderazzak Moumen, Adrian Martinez Rivas, Christophe Vieu, et al.. Automated bio-AFM generation of large mechanome data set and their analysis by machine learning to classify cancerous cell lines. ACS Applied Materials & Interfaces, 2024, 16 (34), pp.44504-44517. ⟨10.1021/acsami.4c09218⟩. ⟨hal-04674006⟩

Kévin Ducharlet, Louise Travé-Massuyès, Jean-Bernard Lasserre, Marie-Véronique Le Lann, Youssef Miloudi. Leveraging the Christoffel function for outlier detection in data streams. International Journal of Data Science and Analytics, In press, pp.doi.org/10.1007/s41060-024-00581-2. ⟨10.1007/s41060-024-00581-2⟩. ⟨hal-04630422⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Analytical Bounds for an Interval Kalman Filter. IEEE Transactions on Automatic Control, 2024, 69 (1), pp.449 - 454. ⟨10.1109/TAC.2023.3268307⟩. ⟨hal-04070189⟩

Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso. An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules. Engineering Applications of Artificial Intelligence, 2024, 137 (Part A), pp.109068. ⟨10.1016/j.engappai.2024.109068⟩. ⟨hal-04689176⟩

Carine Jauberthie, Nathalie Verdière, Louise Travé-Massuyès. Functional Diagnosability of Possibly Uncertain Systems. IEEE Control Systems Letters, 2024, 8, pp.2181-2186. ⟨10.1109/LCSYS.2024.3456230⟩. ⟨hal-04703936⟩

Edgar Hernando Sepúlveda-Oviedo, Leonardo Enrique Bermeo Clavijo, Luis Carlos Méndez-Córdoba. Effect of timing of umbilical cord clamping and birth on fetal to neonatal transition: OpenModelica-based virtual simulator-based approach. Biocybernetics and Biomedical Engineering, 2024, 44 (3), pp.716-730. ⟨10.1016/j.bbe.2024.08.008⟩. ⟨hal-04687787⟩

Le Toan Duong, Audine Subias, Louise Travé-Massuyès, Christophe Merle. Big data analytics for quality variation over work shifts in manufacturing systems. International Journal of Computer Integrated Manufacturing, In press, ⟨10.1080/0951192X.2024.2351529⟩. ⟨hal-04619714⟩

Conference papers

Rahma Bengamra, Soheib Fergani, Carine Jauberthie. Hyperplanes Based Zonotopic Contractor. 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024), Nov 2024, Vienne (AUT), Austria. pp.26: 1-26: 13, ⟨10.4230/OASIcs.DX.2024.26⟩. ⟨hal-04845988⟩

Charles-Maxime Gauriat, Yannick Pencolé, Pauline Ribot, Gregory Brouillet. On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper). 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024), Nov 2024, Vienna, Austria. ⟨10.4230/OASIcs.DX.2024.27⟩. ⟨hal-04862630⟩

Charles-Maxime Gauriat, Yannick Pencolé, Pauline Ribot, Gregory Brouillet. Multi-class Neural Additive Models : An Interpretable Supervised Learning Method for Gearbox Degradation Detection. 2024 IEEE International Conference on Prognostics and Health Management, Jun 2024, Spokane WA, United States. ⟨10.1109/ICPHM61352.2024.10627522⟩. ⟨hal-04562531⟩

Silke Merkelbach, Alexander Diedrich, Anna Sztyber-Betley, Louise Travé-Massuyès, Elodie Chanthery, et al.. Using Multi-modal LLMs to Create Models for Fault Diagnosis. The 35th International Conference on Principles of Diagnosis and Resilient Systems (DX'24), Nov 2024, Vienna, Austria. ⟨10.4230/OASIcs.DX.2024.6⟩. ⟨hal-04777473⟩

Maxence Glotin, Louise Travé-Massuyès, Elodie Chanthery. MSO sets and MTES for dummies. The 35th International Conference on Principles of Diagnosis and Resilient Systems (DX'24), Nov 2024, Vienna (Autriche), Austria. ⟨10.4230/OASIcs.DX.2024.13⟩. ⟨hal-04777448⟩

Ibis Velasquez, Euriell Le Corronc, Euriell Le Corronc, Yannick Pencolé. Learning normal and delayed behavior of max-plus linear systems from input and output event data. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Aug 2024, Bari, Italy. ⟨hal-04718040⟩

Patricia Monica Campos-Mayer-Vicente, Felipe Gomes Cabral, Públio M. Lima, Marcos Vicente Moreira, Audine Subias, et al.. Property-Based Transparency: a New Utility Definition*. 2024 IEEE 20th International Conference on Automation Science and Engineering, Aug 2024, Bari (IT), Italy. ⟨hal-04775876⟩

Patricia Monica Campos-Mayer-Vicente, Felipe Gomes Cabral, Públio M. Lima, Marcos Vicente Moreira, Audine Subias, et al.. Transparência Baseada em Propriedade: uma Nova Noção de Utilidade para Sistemas a Eventos Discretos ⋆. XXV Congresso Brasileiro de Automática, Oct 2024, Rio de Janeiro (BR), Brazil. ⟨hal-04775872⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Generic Interval Filter for continuous time nonlinear systems with bounded state condition. The 63rd IEEE Conference on Decision and Control CDC'24, IEEE, Dec 2024, Milan (Italie), Italy. ⟨hal-04845940⟩

Léonie Hatte, Pauline Ribot, Elodie Chanthery. Transforming Time Petri Nets into Heterogeneous Petri Nets for Hybrid System Monitoring. IFAC Safeprocess 2024, Jun 2024, Ferrara, Italy. ⟨hal-04578700⟩

Louise Travé-Massuyès, Kévin Ducharlet, Jean-Bernard Lasserre. Leveraging the properties of the Christoffel function for anomaly detection in data streams. Congrès Annuel de la SAGIP, SAGIP, May 2024, Lyon, France. ⟨hal-04794461⟩

Swantje Plambeck, Maximilian Schmidt, Audine Subias, Louise Travé-Massuyès, Goerschwin Fey. Usability of Symbolic Regression for Hybrid System Identification -System Classes and Parameters. The 35th International Conference on Principles of Diagnosis and Resilient Systems (DX'24), Nov 2024, Vienna, Austria. 14 p., ⟨10.4230/OASIcs.DX.2024.30⟩. ⟨hal-04794459⟩

Louis Goupil, Louise Travé-Massuyès, Elodie Chanthery, Thibault Kohler, Sébastien Delautier. Tree based Diagnosis Enhanced with Meta Knowledge Applied to Dynamic Systems. 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (2024), Best Theory Paul M. Frank paper Award, IFAC, Jun 2024, Ferrara, Italy. to appear in IFAC-PapersOnLine. ⟨hal-04556203⟩

Patrícia C Mayer, Felipe G Cabral, Públio M M Lima, Marcos V Moreira, Audine Subias, et al.. Property-Based Transparency: a New Utility Definition. International Conference on Automation Science and Engineering, Aug 2024, Bari, Italy. ⟨hal-04795602⟩

Swantje Plambeck, Maximilian Schmidt, Goerschwin Fey, Audine Subias, Louise Travé-Massuyès. Dynamics-Based Identification of Hybrid Systems using Symbolic Regression. DSD/SEAA Conference, Aug 2024, Paris, France. ⟨hal-04794430⟩

Other documents

Charles-Maxime Gauriat, Yannick Pencolé, Pauline Ribot, Gregory Brouillet. Modèles Additifs Neuronaux Multi classes (MNAM). LAAS Research and Technology Days 2024 (RTDAYS), Jul 2024, Toulouse, France. 2024. ⟨hal-04775898⟩

Proceedings

Lucas Lima Lopes, Louise Travé-Massuyès, Carine Jauberthie, Guillaume Alcalay. A Review of Fault Diagnosis Techniques Applied to Aircraft Air Data Sensors. International Conference on Principles of Diagnosis and Resilient Systems (DX), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024, 978-3-95977-356-0. ⟨10.4230/OASIcs.DX.2024.3⟩. ⟨hal-04849194⟩

@softwareversion

Yannick Pencolé. DdEditor (Diades editor). 2024, ⟨swh:1:dir:3752fea19639a763fe00156c1d557be6fc520f51;origin=https://gitlab.laas.fr/ypencole/ddeditor;visit=swh:1:snp:f078c4952f459c8a32061c2578eb38812ad62a65;anchor=swh:1:rev:7a7501caa360322a91dae69cf33439ea51db4d7f⟩. ⟨hal-04779018⟩

Yannick Pencolé. DdAutomata (Automata tools). 2024, ⟨swh:1:dir:66a436ed79218d8109f9927cd1281e3bf431274a;origin=https://gitlab.laas.fr/ypencole/ddautomata;visit=swh:1:snp:5c1726eef243ee48acf81a695b3db87a84e29165;anchor=swh:1:rev:6cf0cd89ea8e6d030258d48895eb7ce6daf8456f⟩. ⟨hal-04779083⟩

Yannick Pencolé. diades (DIAgnosis of Discrete Event Systems). 2024, ⟨swh:1:dir:f0c1d9fdd38a0ee1f8d37eb408428c4d603ddf2c;origin=https://gitlab.laas.fr/ypencole/diades;visit=swh:1:snp:e9d3cccd3c6b0feea44623139cca7b121a0fb1d4;anchor=swh:1:rev:d983dfe2ee50b18f9f22cdc1e7b1b669ead46844⟩. ⟨hal-04779011⟩

Yannick Pencolé. DdPetri (Petri net collection tools of Diades). 2024, ⟨swh:1:dir:ecce6e0ecc61d35a6e903d0745f40315e7739daa;origin=https://gitlab.laas.fr/ypencole/ddpetri;visit=swh:1:snp:97bceb647ac1d1e940e1bea79828d1d91c2ba6d1;anchor=swh:1:rev:06bfdca77a59b680a0eaa9769bc1017df19041b0⟩. ⟨hal-04779090⟩

Preprints, Working Papers, ...

Rafael Accácio Nogueira, Soheib Fergani, Jan Bolting. Constrained Zonotope-based localization of mobile agents with uncertain observation times. 2024. ⟨hal-04845892⟩

Charlotte Lacoquelle, Xavier Pucel, Louise Travé-Massuyès, Axel Reymonet, Benoît Enaux. Warped Time Series Anomaly Detection. 2024. ⟨hal-04549643⟩

2023

Journal articles

Elodie Chanthery, P-E Hladik, Corinne Joffre, G. Le Corre, J. Lesauvage, et al.. JePeIA : de la création à la mise en oeuvre d’un escape game à visée pédagogique sur l’Intelligence Artificielle. Journal sur l'enseignement des sciences et technologies de l'information et des systèmes, 2023, 22, pp.0003. ⟨10.1051/j3ea/20230003⟩. ⟨hal-04273184⟩

Lucas Dal Bosco, Xavier Franceries, Blandine Romain, François Smekens, François Husson, et al.. A convolutional neural network model for EPID‐based non‐transit dosimetry. Journal of Applied Clinical Medical Physics, 2023, 24 (6), pp.13923. ⟨10.1002/acm2.13923⟩. ⟨hal-04782079⟩

Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso. Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach. Heliyon, 2023, 9 (11), pp.e21491. ⟨10.1016/j.heliyon.2023.e21491⟩. ⟨hal-04276780⟩

Xue Han, Rim Rammal, Menglin He, Zetao Li, Michel Cabassud, et al.. Dynamic and sensor fault tolerant control for an intensified heat-exchanger/reactor. European Journal of Control, 2023, 69, pp.100736. ⟨10.1016/j.ejcon.2022.100736⟩. ⟨hal-04187728⟩

Conference papers

Xue Han, Menglin He, Nathalie Di Miceli Raimondi, Michel Cabassud, Boutaib Dahhou. Distributed adaptive observer-based Fault Diagnosis for an Intensified Heat Exchanger/Reactor. 31st Mediterranean Conference on Control and Automation (MED 2023), Jun 2023, Limassol, Cyprus. ⟨hal-04827116⟩

Edgar Hernando Sepúlveda Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso. Detection and classification of faults aimed at preventive maintenance of PV systems.. XI Congreso Internacional de Ingeniería Mecánica, Mecatrónica y Automatización 2023, Universidad Nacional de Colombia, Apr 2023, Carthagène, Colombia. ⟨hal-04125988⟩

Louise Travé-Massuyès. Leveraging the properties of the Christoffel function for anomaly detection in data stream. 20 years of the Institute for Software Technology at TU Graz, Institute for Software Technology at TU Graz, Dec 2023, Graz, Austria. ⟨hal-04795340⟩

Dorian Voydie, Louis Goupil, Elodie Chanthery, Louise Travé-Massuyès, Sébastien Delautier. Machine Learning Based Fault Anticipation for 3D Printing. 22nd World Congress of the International Federation of Automatic Control (IFAC 2023), IFAC: International Federation of Automatic Control, Jul 2023, Yokohama, Japan. ⟨hal-04268835⟩

Camille Coquand, Yannick Pencolé, Audine Subias. Diagnosabilization of Time Petri net for timed fault. IFAC World COngress, Jul 2023, Yokoama, Japan. pp.8648-8653, ⟨10.1016/j.ifacol.2023.10.041⟩. ⟨hal-04075303⟩

Christine Leterrier, Claire Bonnefous, Jarkko Niemi, Lucia Rocchi, Giuditta Meloni, et al.. Welfare barriers and levers for improvement in organic and low-input outdoor pig and poultry production systems. 74. Annual meeting of the european federation of animal science (EAAP 2023), EAAP, Aug 2023, Lyon, France. pp.731. ⟨hal-04198015⟩

Edgar Hernando Sepúlveda Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso. DTW K-Means clustering for fault detection in photovoltaic modules. XI Congreso Internacional de Ingeniería Mecánica, Mecatrónica y Automatización 2023, Apr 2023, Carthagène, Colombia. ⟨hal-04125983⟩

Carine Jauberthie, Louise Travé-Massuyès, Nathalie Verdière. Identifiabilité ensembliste et détection de fautes au travers de l'estimation paramétrique. 1er congrès de la SAGIP, Jun 2023, Marseiile, France. ⟨hal-04116243⟩

Anna Sztyber, Elodie Chanthery, Louise Travé-Massuyès. Benchmark for Fault Diagnosis of Water Distribution Network. The 34th International Workshop on Principles of Diagnosis (DX'23), PARC and the Silicon Austria Labs (SAL)., Sep 2023, Loma Mar, United States. ⟨hal-04327789⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Fault detection using Enhanced Adaptive degrees of freedom χ2-statistics method for Linear systems with mixed uncertainties. The 22nd World Congress of the International Federation of Automatic Control, Jul 2023, Yokohama, Japan. ⟨hal-04069624⟩

Louise Travé-Massuyès. Leveraging the properties of the Christoffel function for anomaly detection in data streams. POP23 - Future Trends in Polynomial OPtimization, LAAS-CNRS, Toulouse, Nov 2023, Toulouse, France. ⟨hal-04795310⟩

Audine Subias, Louise Travé-Massuyès, Tom Obry. DyClee-N&C: a clustering algorithm for heterogeneous data based situation assessment. IFAC World Congress, Jul 2023, Yokohama, Japan. ⟨hal-04268806⟩

Louis Goupil, Elodie Chanthery, Louise Travé-Massuyès, Sébastien Delautier. Tree based diagnosis enhanced with meta knowledge. 34th International Workshop on Principles of Diagnosis (DX'23), Sep 2023, Loma Mar, United States. ⟨hal-04186400⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Fault detection combining adaptive degrees of freedom χ2-statistics and interval approach for nonlinear systems. The 22nd World Congress of the International Federation of Automatic Control (IFAC), Jul 2023, Yokohama, Japan. ⟨hal-04069589⟩

Menglin He, Xue Han, Nathalie Di Miceli Raimondi, Michel Cabassud, Boutaib Dahhou, et al.. The Simplified Modeling and Experimental Verification of a Heat Exchanger/Reactor*. IEEE 11th International Conference on Systems and Control (ICSC 2023), Dec 2023, Sousse, Tunisia. pp.677-682, ⟨10.1109/ICSC58660.2023.10449866⟩. ⟨hal-04541196⟩

Xue Han, Mondher Farza, Mohammed M'Saad, Boutaib Dahhou. Suitable Temperatures and Reaction Heats Estimation within an Intensified Heat Exchanger/Reactor. IEEE 11th International Conference on Systems and Control (ICSC 2023), Dec 2023, Sousse, Tunisia. pp.177-182, ⟨10.1109/ICSC58660.2023.10449787⟩. ⟨hal-04541167⟩

Le Toan Duong, Louise Travé-Massuyès, Audine Subias, Christophe Merle. Remaining cycle time prediction with Graph Neural Networks for Predictive Process Monitoring. 8th International Conference on Machine Learning Technologies (ICMLT 2023), Mar 2023, Stockholm, Sweden. 7 p., ⟨10.1145/3589883.3589897⟩. ⟨hal-04093621⟩

Patents

Bolting Jan, Soheib Fergani. CONSTRAINED ZONOTOPE ENCLOSING A STATE REPRESENTING MOTION OF AT LEAST ONE MOBILE TARGET GOVERNED BY A NONLINEAR MODEL. France, Patent n° : US20220326389A1. 2023. ⟨hal-04845835⟩

Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso. Méthode de détection de défauts dans une installation photovoltaïque. France, N° de brevet: FR2310256. Rapport LAAS n° 23666. 2023. ⟨hal-04773333⟩

Reports

Dimitri Peaucelle, Damien Trentesaux, Gülgün Alpan, Romain Postoyan, Jean Auriol, et al.. Groupement de Recherche MACS - Bilan 2019-2023 et Projet 2024-2028. Cnrs. 2023. ⟨hal-04246559⟩

Charles-Maxime Gauriat, Yannick Pencolé, Pauline Ribot, Gregory Brouillet. An experimental setup for learning models for the RUL estimation of bearings in rotary machine tools: towards the learning of more interpretable models. 2023. ⟨hal-04715967⟩

Preprints, Working Papers, ...

Yannick Pencolé. Notes de cours: Analyse, Simulation et Commande de systèmes (max,+)-linéaires.. Master. Module Controle et Simulation (partie 1), Université Paul Sabatier, Toulouse, France. 2023, pp.58. ⟨hal-04775880⟩

2022

Journal articles

Gustavo Perez-Zuniga, Elodie Chanthery, Louise Travé-Massuyès, Javier Sotomayor. Near-Optimal Decentralized Diagnosis via Structural Analysis. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52 (12), pp.7353-7365. ⟨10.1109/TSMC.2022.3156539⟩. ⟨hal-03615003⟩

Carine Jauberthie, Nathalie Verdière. Bounded-Error Parameter Estimation Using Integro-Differential Equations for Hindmarsh–Rose Model. Algorithms, 2022, 15 (6), pp.179. ⟨10.3390/a15060179⟩. ⟨hal-03685775⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Reinforced Likelihood Box Particle Filter. IEEE Control Systems Letters, 2022, 7, pp.502 - 507. ⟨10.1109/LCSYS.2022.3194810⟩. ⟨hal-03741351⟩

Edgar Hernando Sepúlveda Oviedo, Leonardo Enrique Bermeo Clavijo, Luis Carlos Méndez Córdoba. OpenModelica-based virtual simulator for the cardiovascular and respiratory physiology of a neonate. Journal of Medical Engineering and Technology, 2022, 46 (3), pp.179-197. ⟨10.1080/03091902.2022.2026500⟩. ⟨hal-04185789⟩

Giulia Maria Mattia, Benjamine Sarton, Edouard Villain, Helene Vinour, Fabrice Ferre, et al.. Multimodal MRI-Based Whole-Brain Assessment in Patients In Anoxoischemic Coma by Using 3D Convolutional Neural Networks. Neurocritical Care, 2022, 37 (S2), pp.303-312. ⟨10.1007/s12028-022-01525-z⟩. ⟨hal-03970344⟩

Yannick Pencolé, Audine Subias. Diagnosability of event patterns in safe labeled time Petri nets: a model-checking approach. IEEE Transactions on Automation Science and Engineering, 2022, 19 (2), pp.1151 - 1162. ⟨10.1109/TASE.2020.3045565⟩. ⟨hal-03139863⟩

Angel Mur, Louise Travé-Massuyès, Elodie Chanthery, Renaud Pons, Pauline Ribot. A Neural Algorithm for the Detection and Correction of Anomalies: Application to the Landing of an Airplane. Sensors, 2022, 22 (6), pp.2334. ⟨10.3390/s22062334⟩. ⟨hal-03615011⟩

Rim Rammal, Tudor-Bogdan Airimitoaie, Pierre Melchior, Franck Cazaurang. Nonlinear Three-Tank System Fault Detection and Isolation Using Differential Flatness. IFAC Journal of Systems and Control, 2022, 21, pp.100197. ⟨10.1016/j.ifacsc.2022.100197⟩. ⟨hal-03601378⟩

Edgar Hernando Sepúlveda Oviedo, Louise Travé-Massuyès, Audine Subias, Corinne Alonso, Marko Pavlov. Feature extraction and health status prediction in PV systems. Advanced Engineering Informatics, 2022, 53, pp.101696. ⟨10.1016/j.aei.2022.101696⟩. ⟨hal-03736670⟩

Book sections

Menglin He, Zetao Li, Xue Han, Boutaib Dahhou, Michel Cabassud. Study on Fault Tolerant Control of an Intensified Heat-Exchanger/Reactor Using Two-Layer Multiple Model Structure. 15th European Workshop on Advanced Control and Diagnosis (ACD 2019), Springer International Publishing, pp.295-312, 2022, Lecture Notes in Control and Information Sciences - Proceedings, ⟨10.1007/978-3-030-85318-1_18⟩. ⟨hal-04827167⟩

Conference papers

Anna Sztyber, Elodie Chanthery, Louise Travé-Massuyès, Carlos Gustavo Pérez-Zuñiga. Water network benchmarks for structural analysis algorithms in fault diagnosis. 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773713⟩

Edgar Hernando Sepúlveda Oviedo. Extraction de signatures et prédiction de l'état de santé des centrales photovoltaïques. Congrès annuel de l'Ecole Doctorale GEETS 2022, Ecole Doctorale Génie Electrique, Electronique, Télécommunications et Santé, Apr 2022, Toulouse, France. ⟨hal-04290156⟩

Alexandre Gaffet, Nathalie Barbosa Roa, Pauline Ribot, Elodie Chanthery, Christophe Merle. A Hierarchical XGBoost Early Detection Method for Quality and Productivity Improvement of Electronics Manufacturing Systems. 7th European Conference of the Prognostics and Health Management Society 2022, Jul 2022, Turin, Italy. ⟨hal-03711267⟩

Amaury Vignolles, Elodie Chanthery, Pauline Ribot. Hybrid Model Learning for System Health Monitoring. Safeprocess 2022 : 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Jun 2022, Paphos, Cyprus. ⟨hal-03282377v3⟩

Camille Coquand, Audine Subias, Yannick Pencolé. Observable Simple Temporal Network synthesis for the diagnosis of time patterns in time Petri nets. 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - SAFEPROCESS 2022, Jun 2022, Pafos, Cyprus. ⟨hal-03694854⟩

Ibis Velasquez, Euriell Le Corronc, Yannick Pencolé. Active Diagnosis Algorithm for the Localization of Time Failures in (Max,+)-Linear Systems. 16th IFAC Workshop on Discrete Event Dynamic Systems (WODES'22), Sep 2022, Prague, Czech Republic. pp.276-283, ⟨10.1016/j.ifacol.2022.10.354⟩. ⟨hal-04249433⟩

Adrien Dorise, Audine Subias, Louise Travé-Massuyès, Corinne Alonso. Advanced machine learning for the detection of single event effects. RADECS 2022, Oct 2022, Venice, Italy. ⟨hal-03789895⟩

Amaury Vignolles, Pauline Ribot, Elodie Chanthery. Modeling complex systems with Heterogeneous Petri Nets (HtPN). 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773709⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Active Fault Diagnosis based on Adaptive Degrees of Freedom χ 2 -statistic method. 8th International Conference on Control, Decision and Information technologies (CoDIT'22), May 2022, Istanbul, Turkey. ⟨10.1109/CoDIT55151.2022.9804156⟩. ⟨hal-03689596⟩

Adrien Dorise, Louise Travé-Massuyès, Audine Subias, Corinne Alonso. Dyd²: Dynamic Double anomaly Detection. IFAC Safeprocess 2022 :11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, IFAC, Jun 2022, Pafos, Cyprus. ⟨hal-03609573v2⟩

Alexandre Gaffet, Pauline Ribot, Elodie Chanthery, Nathalie Barbosa, Christophe Merle. A Health Monitoring Method for Automotive Surface Mount Technologies. SAFEPROCESS 2022, Jun 2022, Paphos, Cyprus. ⟨hal-03711286⟩

Eric Lubat, Camille Coquand, Yannick Pencole, Audine Subias. Diagnosability and Predictability of pattern in Labelled Petri Nets. 33rd International Workshop on Principle of Diagnosis (DX 2022), LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773804⟩

Camille Coquand, Audine Subias, Yannick Pencolé, Éric Lubat. Critical pairs based diagnosability analysis of timed fault in Time Petri Nets. 16th IFAC Workshop on Discrete Event Systems, Sep 2022, Prague, Czech Republic. ⟨hal-03765924⟩

Anne Collin, Giuditta Meloni, Claire Bonnefous, Martina Re, Laura van Vooren, et al.. The PPILOW project: Innovations improving welfare in low input and organic pig and poultry farms. 73. Annual meeting of the european federation of animal science (EAAP), EAAP, Sep 2022, Porto, Portugal. pp.350. ⟨hal-04128847⟩

Louis Goupil, Elodie Chanthery, Louise Travé-Massuyès, Sébastien Delautier. A Survey on Diagnosis Methods Combining Dynamic Systems Structural Analysis and Machine Learning. 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773707⟩

Kévin Ducharlet, Louise Travé-Massuyès, Marie-Véronique Le Lann, Youssef Miloudi. Etude des méthodes de détection d'anomalies non supervisées appliquées aux flux de données. 20èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), Jun 2022, Saint-Etienne, France. ⟨hal-03765550⟩

Other documents

Le Toan Duong, Louise Travé-Massuyès, Audine Subias, Nathalie Barbosa Roa. Electronic board production process knowledge extraction for global optimization. ANITI EVALUATION, Mar 2022, Toulouse, France. 2022. ⟨hal-03608222v2⟩

Adrien Dorise, Louise Travé-Massuyès, Audine Subias, Corinne Alonso. Dynamic Double anomaly Detection through evolving clustering: Application to on-board space radiation faults. ANITI presentation, Mar 2022, Toulouse, France. 2022. ⟨hal-03622285⟩

Reports

Louise Travé-Massuyès, Elodie Chanthery, Angel Mur Guerri, Pauline Ribot, Renaud Pons. Prototyping and validation results, Cocotier Project. S5.9.1.4, LAAS-CNRS. 2022. ⟨hal-03800103⟩

Louise Travé-Massuyès, Michel Devy. Rapport de synthèse n°6 - Projet COCOTIER. LAAS-CNRS. 2022. ⟨hal-03798439⟩

Preprints, Working Papers, ...

Kévin Ducharlet, Louise Travé-Massuyès, Jean-Bernard Lasserre, Marie-Véronique Le Lann, Youssef Miloudi. Leveraging the Christoffel-Darboux Kernel for Online Outlier Detection. 2022. ⟨hal-03562614⟩

Rim Rammal, Tudor-Bogdan Airimitoaie, Pierre Melchior, Franck Cazaurang. Flatness-Based Fault Detection and Isolation for Fractional Order Linear Flat Systems. 2022. ⟨hal-03601386⟩

Yannick Pencolé. Discrete-Event systems: Diagnosis with Petri nets. Doctoral. Module T7. Discrete-Event systems, Girona, Spain. 2022, pp.65. ⟨hal-04775891⟩

Yannick Pencolé. Discrete-Event systems: Symbolic representations. Doctoral. Module T7. Discrete-Event systems, Girona, Spain. 2022, pp.41. ⟨hal-04775887⟩

2021

Journal articles

Le Toan Duong, Louise Travé-Massuyès, Audine Subias, Nathalie Barbosa Roa. Assessing product quality from the production process logs. International Journal of Advanced Manufacturing Technology, 2021, 117, pp.1615-1631. ⟨10.1007/s00170-021-07764-2⟩. ⟨hal-03326882⟩

Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. A new scheme for fault detection based on Optimal Upper Bounded Interval Kalman Filter. IFAC-PapersOnLine, 2021, 54 (7), pp.292-297. ⟨10.1016/j.ifacol.2021.08.374⟩. ⟨hal-03363452⟩

Euriell Le Corronc, Yannick Pencolé, Alexandre Sahuguède, Claire Paya. Failure Detection and Localization for Timed Event Graphs in (max, +)-Algebra. Discrete Event Dynamic Systems, 2021, 31 (4), pp.513-552. ⟨10.1007/s10626-020-00329-7⟩. ⟨hal-03122966⟩

Mei Zhang, Boutaib Dahhou, Ze-Tao Li. On Invertibility of an Interconnected System Composed of Two Dynamic Subsystems. Applied Sciences, 2021, 11 (2), pp.596. ⟨10.3390/app11020596⟩. ⟨hal-03618652⟩

Mei Zhang, Boutaib Dahhou, Qinmu Wu, Zetao Li. Observer Based Multi-Level Fault Reconstruction for Interconnected Systems. Entropy, 2021, 23 (9), pp.1102. ⟨10.3390/e23091102⟩. ⟨hal-03618663⟩

Tuan Anh Tran, Carine Jauberthie, Louise Travé-Massuyès, Quoc Hung Lu. An Interval Kalman Filter enhanced by lowering the covariance matrix upper bound. International Journal of Applied Mathematics and Computer Science, 2021, 31 (2), pp.259-269. ⟨10.34768/amcs-2021-0018⟩. ⟨hal-03274850⟩

Conference papers

Edouard Villain, Giulia Maria Mattia, Federico Nemmi, Patrice Peran, Xavier Franceries, et al.. Visual interpretation of CNN decision-making process using Simulated Brain MRI. 34th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2021), Jun 2021, Aveiro, Portugal. pp.515-520, ⟨10.1109/CBMS52027.2021.00102⟩. ⟨hal-04037117⟩

Xue Han, Rim Rammal, Zetao Li, Michel Cabassud, Boutaib Dahhou. Interval Observer-Based Active Fault Tolerant Control for an Intensified Heat Exchanger/Reactor. 9th International Conference on Systems and Control, Nov 2021, Caen, France. ⟨10.1109/ICSC50472.2021.9666503⟩. ⟨hal-03592807⟩

Adrien Dorise, Louise Travé-Massuyès, Corinne Alonso, Audine Subias, François Vacher, et al.. Creation of a database for single events latch-up detection on Atmel SAM3X microcontroller. European Space Components Conference - ESCCON 2021, ESA, Mar 2021, Online, Netherlands. ⟨hal-03330093⟩

Lucia Rocchi, Anne Collin, Giuditta Meloni, Claire Bonnefous, Martina Re, et al.. PPILOW: innovations for improving animal welfare and human well-being in low-input outdoor and organic poultry and pig production systems. One Welfare World Conference, 2021, One Welfare CIC, Sep 2021, Online meeting, Spain. pp.46. ⟨hal-03632430⟩

Claire Paya, Euriell Le Corronc, Yannick Pencolé, Philippe Vialletelle. Observer-based detection and localization of time shift failures in (max,+)-linear systems. IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Aug 2021, Lyon, France. ⟨10.1109/CASE49439.2021.9551625⟩. ⟨hal-03417390⟩

Edgar Hernando Sepúlveda Oviedo, Louise Travé-Massuyès, Audine Subias, Corinne Alonso, Marko Pavlov. Hierarchical clustering and dynamic time warping for fault detection in photovoltaic systems. X Congreso Internacional CIMM Ingeniería Mecánica, Mecatrónica y Automatización, May 2021, Bogotá (virtual), Colombia. ⟨hal-03355362⟩

Alexandre Gaffet, Pauline Ribot, Elodie Chanthery, Nathalie Barbosa, Christophe Merle. Data-Driven Capability-based Health Monitoring Method for Automotive Manufacturing. EUROPEAN CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY ( PHM Europe), PHM society, Jun 2021, Turin (virtual), Italy. ⟨hal-03277031⟩

Yannick Pencolé, Audine Subias, Camille Coquand. A Model Checking method to solve the event pattern diagnosis problem in safe labeled time Petri nets. 32nd International Workshop on Principles of Diagnosis DX’21, Sep 2021, Hamburg, Germany. ⟨hal-03348338⟩

Carine Jauberthie, Soheib Fergani, Emelyne Saulnier. Fault detection using Upper Bound Interval Kalman Filter for unmaned aerial vehicle. 2021 9th International Conference on Systems and Control (ICSC), Nov 2021, Caen, France. pp.101-106, ⟨10.1109/ICSC50472.2021.9666625⟩. ⟨hal-03685779⟩

Adrien Dorise, Corinne Alonso, Audine Subias, Louise Travé-Massuyès, Leny Baczkowski, et al.. Machine learning as an alternative to thresholding for space radiation high current event detection. Radiation and its Effects on Components and Systems - RADECS 2021, Sep 2021, Vienna, Austria. ⟨10.1109/RADECS53308.2021.9954582⟩. ⟨hal-03331030⟩

Claire Paya, Euriell Le Corronc, Yannick Pencolé, Philippe Vialletelle. Détection et localisation de dérives temporelles à base d'observateurs (max,+) dans les Graphes d'Evénements Temporisés. 13ème Colloque sur la Modélisation des Systèmes Réactifs (MSR'21), Nov 2021, Paris, France. ⟨hal-04249495⟩

Camille Coquand, Audine Subias, Yannick Pencolé. Signature of timed patterns in time Petri nets: a formal characterization. Modélisation des Systèmes Réactifs (MSR'21), Nov 2021, Paris, France. ⟨hal-03405509⟩

Xavier Pucel, Stéphanie Roussel, Louise Travé-Massuyès, Valentin Bouziat. Meta-diagnosis via Preference Relaxation for State Trackability. KES - IDT 2021, Jun 2021, VIRTUEL, Italy. ⟨10.1007/978-981-16-2765-1_44⟩. ⟨hal-03462351⟩

Claire Paya, Euriell Le Corronc, Yannick Pencolé, Philippe Vialletelle. Model-Based Diagnosis of Time Shift Failures in Discrete Event Systems: A (Max,+) Observer-Based Approach. 13th KES-IDT 2021 Conference : Intelligent Decision Technology, Jun 2021, virtual conference center, Italy. pp.545-555, ⟨10.1007/978-981-16-2765-1_45⟩. ⟨hal-03332445⟩

Amaury Vignolles, Elodie Chanthery, Pauline Ribot. A Holistic Advanced Diagnosis Approach For Systems Under Uncertainty. 32nd International Workshop on Principle of Diagnosis – DX 2021, Sep 2021, Hamburg, Germany. ⟨hal-03282343⟩

Xue Han, Rim Rammal, Zetao Li, Michel Cabassud, Boutaib Dahhou. Observer-Based Fault Tolerant Control for an Intensified Heat Exchanger/Reactor. 2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol), Sep 2021, Saint-Raphael, France. pp.311-316, ⟨10.1109/SysTol52990.2021.9595858⟩. ⟨hal-03510729⟩

@softwareversion

Edgar Hernando Sepúlveda-Oviedo, Luis Carlos Méndez Córdoba, Leonardo Enrique Bermeo Clavijo. PatientEvoPhysio Simulator. 2021, ⟨swh:1:dir:4f3bd5153c8897c57314d27e8c87aa4b7b3c27af;origin=https://hal.archives-ouvertes.fr/hal-04423817;visit=swh:1:snp:d82515665a61280986a5cfe6994e996cdfaa5b93;anchor=swh:1:rel:78d3a91bd9f5438ddb34a18b88220e96b3edf13c;path=/⟩. ⟨hal-04423817⟩

Reports

Louise Travé-Massuyès, Elodie Chanthery, Pauline Ribot, Renaud Pons, Angel Mur Guerri. Machine learning algorithms for faulty sensor detection in the approach phase: methods and preliminary tests. S5.9.1.3 Deliverable, Lot 5.9, LAAS-CNRS. 2021. ⟨hal-03416766⟩

Preprints, Working Papers, ...

Amaury Vignolles, Elodie Chanthery, Pauline Ribot. Modeling complex systems with Heterogeneous Petri Nets (HtPN). 2021. ⟨hal-03137722⟩

2020

Journal articles

Xiaoliu Yang, Zetao Li, Boutaib Dahhou. Parameter and State Estimation for Uncertain Nonlinear Systems by Adaptive Observer Based on Differential Evolution Algorithm. Applied Sciences, 2020, 10 (17), pp.5857. ⟨10.3390/app10175857⟩. ⟨hal-03618644⟩

Louise Travé-Massuyès, Yannick Pencolé. Le diagnostic automatique, c’est quoi ?. Le petit illustré, regards croisés de chercheur.es, 2020. ⟨hal-03450201⟩

Mei Zhang, Qinmu Wu, Xiangping Chen, Boutaib Dahhou, Zetao Li. Observer Design for Nonlinear Invertible System from the View of Both Local and Global Levels. Applied Sciences, 2020, 10 (22), pp.7966. ⟨10.3390/app10227966⟩. ⟨hal-03036733⟩

Menglin He, Zetao Li, Boutaib Dahhou, Michel Cabassud. The Fault Tolerant Control Design of an Intensified Heat-Exchanger/Reactor Using a Two-Layer, Multiple-Model Structure. Sensors, 2020, 20 (17), pp.4888. ⟨10.3390/s20174888⟩. ⟨hal-02934913⟩

Yannick Pencolé, Audine Subias. Formal Chronicle Analyses and Comparisons: How to Deal with Negative Behaviors. Journal of Universal Computer Science, 2020, 26 (2), pp.268 - 292. ⟨hal-02862863⟩

Pauline Ribot, Elodie Chanthery, Quentin Gaudel, Matthew J. Daigle. Hybrid Particle Petri Net Based Prognosis of a Planetary Rover. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56 (2), pp.1553 - 1567. ⟨10.1109/TAES.2019.2939688⟩. ⟨hal-02316226⟩

Book sections

Kévin Ducharlet, Louise Travé-Massuyès, Marie-Véronique Le Lann, Youssef Miloudi. A Multi-phase Iterative Approach for Anomaly Detection and Its Agnostic Evaluation. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, , pp.505-517, 2020, 978-3-030-55788-1. ⟨10.1007/978-3-030-55789-8_44⟩. ⟨hal-03093657⟩

Conference papers

Nathalie Verdière, Carine Jauberthie. Parameter estimation procedure based on input-output integro-differential polynomials. Application to the Hindmarsh-Rose model. European Control Conference (ECC 20), May 2020, Saint Pétersbourg, Russia. ⟨10.23919/ecc51009.2020.9143670⟩. ⟨hal-02916048⟩

Kévin Ducharlet, Louise Travé-Massuyès, Marie-Véronique Le Lann, Youssef Miloudi. A Multi-phase Iterative Approach for Anomaly Detection and its Agnostic Evaluation. 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2020, Sep 2020, Kitakyushu, Japan. pp.505-517, ⟨10.1007/978-3-030-55789-8_44⟩. ⟨hal-03089411⟩

Stéphanie Roussel, Xavier Pucel, Valentin Bouziat, Louise Travé-Massuyès. Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems. Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}, Jul 2020, Yokohama, Japan. pp.1884-1890, ⟨10.24963/ijcai.2020/261⟩. ⟨hal-02982277⟩

Adrien Dorise, Louise Travé-Massuyès, Corinne Alonso, Audine Subias, François Vacher, et al.. Anomaly Detection for Radiation Hardening of Space Electronics - Application of Machine Learning Algorithms on an Atmel SAM3X Microcontroller. Avionics, Data, Control and Software Systems - ADCSS 2020, ESA, Oct 2020, Amsterdam (virtual), Netherlands. ⟨hal-03330033⟩

Camille Coquand, Xavier Pucel, Stéphanie Roussel, Louise Travé-Massuyès. Dead-end free single state multi-estimators for DES -the 2-estimator case. 31st International Workshop on Principles of Diagnosis (DX-2020), Sep 2020, Nashville, Tennessee, United States. ⟨hal-03089427⟩

Tom Obry, Louise Travé-Massuyès, Audine Subias. DyClee-C: a clustering algorithm for qualitative data based diagnosis. 33 rd International Workshop on Qualitative Reasoning (QR'20) - ECAI 2020 workshop, Aug 2020, Santiago de Compostela, Spain. ⟨hal-02986780⟩

Amaury Vignolles, Elodie Chanthery, Pauline Ribot. An overview on diagnosability and prognosability for system monitoring. EUROPEAN CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY ( PHM Europe), Jul 2020, (Virtual conference), Italy. ⟨hal-02891028v2⟩

Menglin He, Zetao Li, Boutaib Dahhou. Fault Tolerant Control Strategy Using Two-Layer Multiple Adaptive Models for Plant Fault. 2020 International Conference on Control, Automation and Diagnosis (ICCAD), Oct 2020, Paris, France. pp.1-6, ⟨10.1109/ICCAD49821.2020.9260565⟩. ⟨hal-03105849⟩

Johanne Bakalara, Yannick Pencolé, Audine Subias. How to use Model Checking for Diagnosing Fault Patterns in Petri nets. WODES 2020 - 15th IFAC Workshop on Discrete Event Systems, Nov 2020, Virtual, Brazil. pp.1-6. ⟨hal-02997908⟩

Xue Han, Zetao Li, Michel Cabassud, Boutaib Dahhou. A Comparison Study of Nonlinear State Observer Design: Application to an Intensified Heat-Exchanger/Reactor. 28th Mediterranean Conference on Control and Automation (MED), Sep 2020, Saint-Raphaël, France. pp.162-167, ⟨10.1109/MED48518.2020.9183148⟩. ⟨hal-02934929⟩

Ouahib Guenounou, Boutaib Dahhou, Ferhat Chabour. Multi-objective optimization of fuzzy MPPT using improved strength Pareto evolutionary algorithm. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Jun 2020, Istanbul, Turkey. pp.1-6, ⟨10.1109/ICECCE49384.2020.9179236⟩. ⟨hal-02943934⟩

Le Toan Duong, Louise Travé-Massuyès, Audine Subias, Nathalie Barbosa Roa. Assessing product quality from the production process health status. 31st International Workshop on Principles of Diagnosis: DX-2020, Sep 2020, Nashville, Tennessee, United States. ⟨hal-03011772⟩

Claire Paya, Euriell Le Corronc, Yannick Pencolé, Philippe Vialletelle. Observer-based detection of time shift failures in (max,+)-linear systems. The 31st International Workshop on Principles of Diagnosis (DX-2020), Sep 2020, Nashville, United States. ⟨hal-03023250⟩

Elodie Chanthery, Anna Sztyber, Louise Travé-Massuyès, Carlos Gustavo Pérez-Zuñiga. Process decomposition and test selection for distributed fault diagnosis. 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2020), Sep 2020, Kitakyushu, Japan. ⟨hal-02875561⟩

Éric Lubat, Silvano Dal Zilio, Didier Le Botlan, Yannick Pencolé, Audine Subias. A New Product Construction for the Diagnosability of Patterns in Time Petri Net. 59th Conference on Decision and Control (CDC) 2020, Dec 2020, Jeju Island (virtual conference), South Korea. ⟨10.1109/CDC42340.2020.9303826⟩. ⟨hal-02989834⟩

Other documents

Edgar Hernando Sepúlveda Oviedo, Corinne Alonso, Louise Travé-Massuyès, Audine Subias, Marko Pavlov. Fault detection and diagnosis for PV systems using machine Learning. 9th NextPV workshop, Nov 2020, Online, France. 2020. ⟨hal-04185771⟩

Reports

Elodie Chanthery, Renaud Pons, Pauline Ribot, Louise Travé-Massuyès. State of the Art : Classification algorithms for sensor fusion in the approach phase Cocotier Project. S5.9.1.1 Deliverable, Lot 5.9, LAAS-CNRS. 2020. ⟨hal-02569439⟩

DISCO team gathers permanent researchers from CNRS, INSA and University Paul Sabatier. DISCO is integrated into the model-based diagnosis (DX) and the fault detection and isolation (FDI) communities. DISCO team gathers researchers from both Automatic Control and Artificial Intelligence communities and addresses multidisciplinary research on system diagnosis based on the formalisms of both fields. By this multidisciplinary approach, DISCO team is unique in France.

Member of technical commitees:

  • Hybrid Systems Technical commitee
  • Model-based Diagnosis (DX) committee
  • IFAC Safeprocess Technical committee

Association/Society member:

  • IEEE Computer Society
  • AFIA (Association Française en Intelligence Artificielle)
  • PHM Society (Prognostics and Health Management)

Member of international and national editorial boards:

  • International journal of intelligent manufacturing technologies
  • Transactions of the Institute of Measurement and Control
  • Artificial Intelligence
  • Journal Européen des Systèmes Automatisés

Conference and Workshop organizations:

  • 29th International Workshop on Principles of Diagnosis (DX-2018)
  • Participation in the organisation of IFAC2017
  • 26th International Workshop on Principles of Diagnosis (DX-2015)
  • Workshop on Diagnosis Reasoning: Model Analysis and Performance (DREAMAP@ECAI-12)
  • Workshop on Self-Star and Autonomous Systems (SAS@IJCAI-09)

Teaching, academic implications:

DISCO's professors and associate professors are involved in the creation of the following master courses

  • INSA GEII:  Distributed Systems and  Big Data, Critical Embedded Computing Systems
  • Univ. P.Sabatier: Electronics, Electrical Energy, Automatic: Robotics, Decision and Control and Real-Time System Engineering

DISCO's work is spread over several formations:

  • (master) M2, ISTR, Univ. P. Sabatier, Toulouse
  • (master) GEII, INSA, Toulouse
  • (master) ENAC, Toulouse
  • (PhD) EDSYS, LAAS, Toulouse
  • (PhD) Summer Schools on Diagnosis, Spain

DISCO's research activities lead to the production of software and demonstrators.

Softwares

  • COCD: unsupervised chronicle learning from a time sequence using data mining techniques. Alexandre Sahuguède, Euriell Le Corronc, Marie-Véronique Le Lann

  • Diades: diagnostic tool for discrete event systems.  Diades (DIAgnosis of Discrete Event Systems) provides a maintained set of algorithms and data structures for modelling, random generation, diagnosis and diagnostic verification in discrete event systems. Yannick Pencolé

  • Dito: logical diagnostic tool based on CSP. This tool is a generic logical consistency-based diagnostic engine that transforms the diagnostic problem into a series of CSP problems (search for minimum cardinality diagnoses, search for minimum diagnoses). Yannick Pencolé

  • Dyclee: dynamic classification tool.  Dyclee (Dynamic Clustering algorithm for tracking Evolving Environments) implements a dynamic and self-adaptive unsupervised classification method with a novelty detection mechanism for the supervision of industrial systems. Renaud Pons and Louise Travé-Massuyès

  • Locafleet: software for locating fleets of autonomous vehicles. Soheib Fergani

  • HCDAM: Java-coded time pattern learning software that extracts the pattern common to a set of dated event sequences. Audine Subias, Euriell Le Corronc, Louise Travé-Massuyès

  • Hydiag: diagnostic tool, active diagnosis and prognosis on hybrid systems. HyDiag (Hybrid Diagnoser) software is software developed under Matlab designed to simulate, diagnose and predict hybrid systems (model-based methods) by discrete abstraction of continuous dynamics and using Diades. Elodie Chanthery, Yannick Pencolé, Pauline Ribot, Louise Travé-Massuyès

  • Hymu: diagnostic/prognostic integration tool.  This software implements  Hybrid Particle Petri Nets for monitoring the health state of a hybrid system (fault and degradation diagnosis and aging prognosis). Elodie Chanthery, Pauline Ribot.

  • MaxPlusDiag: tool for detecting and locating time lags in time-discrete event systems based on algebraic theory (max,+). Exploitation of this technique as part of the monitoring of an automated production line in relation to its production objective. Claire Paya, Yannick Pencolé, Euriell Le Corronc

  • Innograde: grade diagnosis assistance for breast cancer for anapathologists: Toulouse Tech Transfer depot, 2014. Marie-Véronique Le Lann

  • P3S: fuzzy classification tool, Toulouse Tech Transfer repository.     The P3S software (Process Sensor Selection and Situation assessment) uses fuzzy logic-based classification techniques for the selection of descriptors/sensors. Marie-Véronique Le Lann.

Demonstrators

  • Prognospice: prototype demonstrating the diagnostic/prognostic integration of a pressure regulation failure by calculation methods with limited uncertainties. Prototype delivered to LIEBHERR (CORALIE project). Renaud Pons, Yannick Pencolé, Louise Travé-Massuyès, Pauline Ribot, Carine Jauberthie.

THESIS / HDR

2024

Charlotte Lacoquelle, Thèse: Détection d'anomalies dans les séries temporelles altérées - Application à la surveillance des robots industriels

Louis Goupil, Thèse: Apprentissage machine guidé par des connaissances pour le diagnostic

2023

Camille Coquand, Thèse: Diagnosticabilité et diagnosticabilisation de motifs temporels dans les réseaux de Petri temporels

Lucas Dal Bosco, Thèse: Dosimétrie basée sur l’imagerie portale par apprentissage de réseaux de neurones convolutifs pour l’assurance qualité spécifique au patient en radiothérapie externe.

Kévin Ducharlet, Thèse: Détection d'anomalies dans les flux de données pour une application dans les réseaux de capteurs

Antoine Boche, Thèse: Étude de la durabilité des micro-réseaux par un modèle systémique basé sur la théorie de la modélisation et de la simulation

Le Toan Duong, Thèse: Extraction de connaissances pour l'optimisation des processus de production par process mining

Alexandre Gaffet, Thèse: Approches de machine learning pour le diagnostic de processus de production automobile

Edgar Hernando Sepúlveda-Oviedo, Thèse: Détection et diagnostic de défauts et des pertes de performances dans les centrales photovoltaïques de forte puissance

2022

Amaury Vignolles, Thèse: Apprentissage de modèles pour la gestion de santé de systèmes hybrides sous incertitudes

Claire Paya, Thèse: Détection des dérives temporelles pour le pilotage de flux de production dans l'industrie des semiconducteurs

Quoc Hung Lu, Thèse: Filtrage à incertitudes stochastiques et bornées : application au diagnostic actif en automobile

2021

Frédéric Chatrie Roudier, Thèse: Dosimétrie in-vivo et contrôle qualité en radiothérapie externe par réseaux de neurones

Edouard Villain, Thèse: Utilisation de l'intelligence artificielle pour l'aide au diagnostic des patients atteints de pathologies neuro dégénératives

Menglin He, Thèse: Commande tolérante aux fautes des systèmes non linéaires basée sur l'approche multi-modèles

Xue Han, Thèse: Diagnostic basé sur les observateurs et commande tolérante aux fautes des systèmes non linéaires

2020

Valentin Bouziat, Thèse: Gestion des aléas dans un système multi-robots

Tom Obry, Thèse: Apprentissage numérique et symbolique pour le diagnostic et la réparation automobile

Alexandre Sahuguède, Thèse: Un algorithme de découverte de chroniques pertinentes pour le diagnostic par identification et reconstitution

2018

Yannick Pencolé, Habilitation à diriger des recherches: Diagnostic : étude d’un raisonnement complexe et multi-dimensionnel

Elodie Chanthery, Habilitation à diriger des recherches: Vers des systèmes plus autonomes : contributions autour de la tâche de diagnostic dans une architecture embarquée

2017

Tuan Anh Tran, Thèse: Cadre unifié pour la modélisation des incertitudes statistiques et bornées : application à la détection et isolation de défauts dans les systèmes dynamiques incertains par estimation

John William Vásquez Capacho, Thèse: Gestion d’alarmes basée sur des chroniques

2016

Thomas Monrousseau, Thèse: Développement du système d'analyse des données recueillies par les capteurs et choix du groupement de capteurs optimal pour le suivi de la cuisson des aliments dans un four

Carine Jauberthie, Habilitation à diriger des recherches: Estimation des systèmes dynamiques incertains et des propriétés connexes. Application à la surveillance de la santé

2015

Elisa Roux, Thèse: Développement d'un outil d'aide au diagnostic pour la production de maïs permettant la réduction de la consommation en eaux d'irrigation et en traitements phytosanitaires

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