Documents dont l'auteur est "Chioua, Moncef"

Moncef ChiouaDépartement de génie chimiqueVoir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

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Amihai, I., Kotriwala, A. M., Chioua, M., Lenders, F., Janka, D., Hollender, M., Schlake, J. C., Abukwaik, H., & Kloepper, B. (2021). Training an artificial intelligence module for industrial applications. [Formation d'un module d'intelligence artificielle pour applications industrielles]. (Demande de brevet no CA3173428). Lien externe

Amihai, I., Kotriwala, A., Pareschi, D., Chioua, M., & Gitzel, R. (juillet 2021). Using learned health indicators and deep sequence models to predict industrial machine health [Communication écrite]. 7th International Conference on Time Series and Forecasting (ITISE 2021), Gran Canaria, Spain (9 pages). Publié dans Engineering Proceedings, 5(1). Disponible

Amihai, I., Subbiah, S., Kotriwala, A. M., & Chioua, M. (2020). Apparatus for predicting equipment damage. [Appareil pour prédire une détérioration d'équipement]. (Demande de brevet no WO2020193314). Lien externe

Alcazar Gonzalez, A., Martinez Alonso, E., Marco Contelles, J. L., & Chioua, M. (2020). Quinolylnitrones for the treatment and prevention of a cerebral stroke or ischaemia. [Quinolylnitrones pour le traitement et la prévention d'une attaque cérébrale ou d'une ischémie cérébrale]. (Demande de brevet no WO2020074666). Lien externe

Arroyo, E., Fay, A., Hoernicke, M., & Chioua, M. (2019). Method for analysis of plant disturbance propagations. [Procédé pour analyser des propagations de perturbation dans une installation]. (Brevet no EP3048613). Lien externe

Amihai, I., Chioua, M., Gitzel, R., Kotriwala, A. M., Pareschi, D., Sosale, G., & Subbiah, S. (juillet 2018). Modeling Machine Health Using Gated Recurrent Units with Entity Embeddings and K-Means Clustering [Communication écrite]. 16th IEEE International Conference on Industrial Informatics (INDIN 2018), Porto, Portugal. Lien externe

Arroyo, E., Fay, A., Chioua, M., & Hoernicke, M. (septembre 2015). Supporting plant disturbance analysis by dynamic causal digraphs and propagation look-up tables [Communication écrite]. 19th IEEE International Conference on Intelligent Engineering Systems (INES 2015), Bratislava, Slovakia. Lien externe

Arroyo, E., Fay, A., Chioua, M., & Hoernicke, M. (septembre 2014). Integrating plant and process information as a basis for automated plant diagnosis tasks [Communication écrite]. IEEE Emerging Technology and Factory Automation (ETFA 2014), Barcelona, Spain (8 pages). Lien externe

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Borghesan, F., Chioua, M., & Thornhill, N. F. (juillet 2018). Forecasting of process disturbances using k-nearest neighbours, with an application in process control [Communication écrite]. 13th International Symposium on Process Systems Engineering (PSE 2018), San Diego, CA. Publié dans Computers & Chemical Engineering, 128. Lien externe

Borghesan, F., Chioua, M., & Thornhill, N. F. (juillet 2018). Forecast of persistent disturbances using k-nearest neighbour methods [Communication écrite]. 13th International Symposium on Process Systems Engineering (PSE 2018), San Diego, CA. Publié dans Computer Aided Chemical Engineering, 44. Lien externe

Borghesan, F., Chioua, M., & Thornhill, N. F. (juin 2018). An MPC with Disturbance Forecasting for the Control of the Level of a Tank with Limited Buffer Capacity [Communication écrite]. 26th Mediterranean Conference on Control and Automation (MED 2018), Zadar, Croatia (9 pages). Lien externe

Borrison, R., Klöpper, B., Chioua, M., Dix, M., & Sprick, B. (novembre 2018). Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants [Communication écrite]. 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018), Madrid, Spain. Lien externe

Bauer, M., Chioua, M., Schilling, J., Sand, G., & Harjunkoski, I. (juillet 2009). Profitability and Re-usability: An Example of a Modular Model for Online Optimization [Communication écrite]. 7th IFAC Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey. Publié dans IFAC Proceedings Volumes, 42(11). Lien externe

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Chioua, M., Dix, M., Kloepper, B., Lymperopoulos, I., Janka, D., & Rodriguez, P. (2021). Method for an intelligent alarm management in industrial processes. [Procédé de gestion d'alarme intelligente dans des processus industriels]. (Demande de brevet no CA3173315). Lien externe

Cohen, A., Hollender, M., Chioua, M., Li, N., & Lucke, M. (2019). Apparatus for alarm information determination. (Demande de brevet no WO2020030543). Lien externe

Chioua, M., Lucke, M., Hollender, M., Li, N., Bauer, R., & Harjunkoski, L. (2019). Method for monitoring an industrial plant and industrial control system. (Demande de brevet no WO2019038283). Lien externe

Chioua, M., Lucke, M., Kolb, E., Hollender, M., Li, N., & Cohen, A. (2019). System and methods monitoring the technical status of technical equipment. (Demande de brevet no WO2020064309). Lien externe

Chioua, M., Xu, C., & Petersen, H. (juin 2016). Improving operations and maintenance in the process industry by process data analytics [Communication écrite]. 13th PCIC Europe Annual Conference (PCIC 2016), Berlin, Germany. Lien externe

Chioua, M., Chen, N. Y., Yu, R., Zhou, Y., & Chen, Y. (2016). Method for windmill farm monitoring. (Demande de brevet no WO2016192786). Lien externe

Chioua, M., Srinivasan, B., Guay, M., & Perrier, M. (juin 2016). Model adequacy for a precise optimization using extremum seeking control [Communication écrite]. European Control Conference (ECC 2016), Aalborg, Denmark. Lien externe

Chioua, M., Srinivasan, B., Guay, M., & Perrier, M. (juin 2016). Performance Improvement of Extremum Seeking Control using Recursive Least Square Estimation with Forgetting Factor [Communication écrite]. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (IFAC DYCOPS-CAB 2016), Trondheim, Norway. Publié dans IFAC-PapersOnLine, 49(7). Lien externe

Chioua, M., Bauer, M., Chen, S. L., Schlake, J. C., Sand, G., Schmidt, W., & Thornhill., N. F. (avril 2016). Plant-Wide Root Cause Identification of non-persistent disturbances with Application to a Paper Machine [Communication écrite]. SCPI Convention, Stockholm, Sweden. Non disponible

Chioua, M., Bauer, M., Chen, S.-L., Schlake, J. C., Sand, G., Schmidt, W., & Thornhill, N. F. (2016). Plant-wide root cause identification using plant key performance indicators (KPIs) with application to a paper machine. Control Engineering Practice, 49, 149-158. Lien externe

Chioua, M., Xu, C., & Petersen, H. (juin 2016). Process data analytics: improving operations and maintenance in the process industry [Communication écrite]. 13th PCIC European annual Conference, Berlin, Germany. Non disponible

Chioua, M., Xu, C., Petersen, H., & Schlake, J. (2015). Sequence-batch monitoring and root cause analysis. [Sequence-batch monitoring und Ursachenanalyse mit MPCA]. ATP Magazin, 57(5), 50-58. Lien externe

Chioua, M., & Hollender, M. (2013). Intelligent visualization in the monitoring of process and/or system variables. (Brevet no US9720015). Lien externe

Chioua, M., Samadi, A., Soriano Santamaria, E., Marco Contelles, J. L., Oset Gasque, M. J., & Alcazar Gonzalez, A. (2013). Quinolyl nitrones. [Quinolyle nitrones]. (Demande de brevet no WO2013017715). Lien externe

Chioua, M., & Hollender, M. (2010). Method and display system for calibrating standardised displays of process values. (Brevet no EP2402832). Lien externe

Chioua, M. (2008). Synthèse d'algorithmes d'optimisation en-ligne par commande extrémale [Thèse de doctorat, École Polytechnique de Montréal]. Disponible

Chioua, M. (2008). Synthesis of optimization algorithms on line by extreme control. Dissertation Abstract International - A, the Humanities and Social, 69(08). Non disponible

Chioua, M., Srinivasan, B., Guay, M., & Perrier, M. (2007). Dependence of the Error in the Optimal Solution of Perturbation-Based Extremum Seeking Methods on the Excitation Frequency. Canadian Journal of Chemical Engineering, 85(4), 447-453. Lien externe

Chioua, M., Srinivasan, B., Perrier, M., & Guay, M. (juin 2007). Effect of excitation frequency in perturbation-based extremum seeking methods [Communication écrite]. 8th International Symposium on Dynamics and Control of Process Systems, Cancun, Mexico. Publié dans IFAC Proceedings Volumes, 40(5). Lien externe

Chioua, M., Srinivasan, B., Perrier, M., & Guay, M. (août 2007). Improving convergence of perturbation-based extremum seeking methods for a class of differentially flat systems [Communication écrite]. 7th IFAC Symposium on Nonlinear Control Systems, Pretoria, South Africa. Publié dans IFAC Proceedings Volumes, 40(12). Lien externe

Chioua, M., Srinivasan, B., Perrier, M., Gendron, S., & Guay, M. (mai 2007). Phase compensation for improved convergence in extremum-seeking control of systems with delay : application to a deinking flotation column [Communication écrite]. Advanced Process Control Applications for Industry Workshop, Vancouver, British Colombia. Non disponible

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Damodaran, S., & Chioua, M. (juillet 2015). Monitoring of transitions in multi-grade continuous processes [Communication écrite]. European Control Conference (ECC 2015), Linz, Austria. Lien externe

De Los Rios Salgado, C., Romero Martinez, A., Maiquez, J. E., Leon Martinez, R., Villarroya Sanchez, A., Marco Contelles, J. L., Soriano Santamaria, E., Samadi, A., & Chioua, M. (2011). 1,8-naphthyridine-derived compounds and the use thereof in the treatment of neurodegenerative diseases. [Composés dérivés de 1,8-naphtyridines et leur utilisation dans le traitement de maladies neurodégénératives]. (Demande de brevet no WO2011051527). Lien externe

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Giuntoli, M., Biagini, V., & Chioua, M. (2020). Artificial intelligence and optimization: a way to speed up the security constraint optimal power flow. [Künstliche Intelligenz und Optimierung: ein Weg zur Beschleunigung des optimalen Lastflusses unter Sicherheits-Rahmenbedingungen]. Automatisierungstechnik, 68(12), 1035-1043. Lien externe

Gugaliya, J., Bhutani, N., Kubal, N., Ghosh, K., & Chioua, M. (2020). A method and system for controlling a process plant using transition data. [Procédé et système de commande d'une installation de traitement mettant en oeuvre des données de transition]. (Brevet). Lien externe

Gugaliya, J., Bhutani, N., Kubal, N., Ghosh, K., & Chioua, M. (2020). Method for controlling a process plant using transition data. (Brevet no US10606251). Lien externe

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Hollender, M., Schmidt, B., Xu, C., & Chioua, M. (2021). Golden batch analytics produce consistent top quality. ABB Review, 2021(2), 31-35. Lien externe

Hollender, M., Klopper, B., Lundh, M., & Chioua, M. (2019). Computer system and method for monitoring the technical state of industrial process systems. (Brevet no EP3379357). Lien externe

Hollender, M., Harjunkoski, L., Li, N., Chioua, M., Graven, T.-G., & Rozou, M. (2018). Computer system and method for improved monitoring of the technical state of industrial systems. (Demande de brevet no EP3404589). Lien externe

Hollender, M., Chioua, M., & Xu, C. (2018). Online big data chemical batch analytics. Chemistry Today, 36(5), 33-35. Lien externe

Hollender, M., Klöpper, B., & Chioua, M. (2017). Alarm handling system and method in plant process automation. (Demande de brevet no WO2017191253). Lien externe

Hollender, M., Chioua, M., Hoernicke, M., & Marco, V. R. (2016). Method for Root analysis of an alarm flood sequence. (Demande de brevet no EP3026518). Lien externe

Hollender, M., Chioua, M., Schlake, J., Merkert, L., & Petersen, H. (2016). KPI-based Process Operation. [KPI-basierte Prozessführung : Management hoch automatisierter Prozesse]. ATP Magazin, 58(9), 52-61. Lien externe

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Janka, D., Kloepper, B., Chioua, M., Rodriguez, P., Ioannis, L., & Dix, M. (2021). An industrial process model generation systems. [Système de génération d'un modèle de processus industriel]. (Demande de brevet no EPEP3916496). Lien externe

Janka, D., Chioua, M., Rodriguez, P., Hoernicke, M., Schmidt, B., & Kloepper, B. (2021). Method for analyzing effects of operator actions in industrial plants. [Procédé d'analyse des effets des actions de l'opérateur dans des installations industrielles]. (Demande de brevet no EP3896593). Lien externe

Janka, D., Cohen, A., Lenders, F., Li, N., Bauer, R., Chioua, M., & Hollender, M. (2020). Method for controlling a metal rolling process for producing intermediate castings, a related computer system, and a method for producing intermediate castings. [Procédé pour commander un processus de laminage de métal pour la production de moulages intermédiaires, système informatique associé et procédé de production de moulages intermédiaires]. (Demande de brevet no EP3739410). Lien externe

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Kloepper, B., Schmidt, B., Amihai, I., Chioua, M., Schlake, J. C., Kotriwala, A. M., Hollender, M., Janka, D., Lenders, F., & Abukwaik, H. (2021). Data processing for industrial machine learning. [Traitement de donnees pour apprentissage machine industriel]. (Demande de brevet no CA3173398). Lien externe

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Lucke, M., Chioua, M., & Thornhill, N. F. (2022). From oscillatory to non-oscillatory disturbances: A comparative review of root cause analysis methods. Journal of Process Control, 113, 42-67. Lien externe

Lucke, M., Stief, A., Chioua, M., Ottewill, J. R., & Thornhill, N. F. (2020). Fault detection and identification combining process measurements and statistical alarms. Control Engineering Practice, 94, 12 pages. Lien externe

Lucke, M., Chioua, M., Grimholt, C., Hollender, M., & Thornhill, N. F. (2020). Integration of alarm design in fault detection and diagnosis through alarm-range normalization. Control Engineering Practice, 98, 12 pages. Lien externe

Li, N., Hollender, M., Cohen, A., Chioua, M., & Luke, M. (2019). Desenmarañando eventos y alarmas con herramientas de análisis de datos. ABB Review, 2019, 36-43. Lien externe

Lucke, M., Chioua, M., Grimholt, C., Hollender, M., & Thornhill, N. F. (2019). Advances in alarm data analysis with a practical application to online alarm flood classification. Journal of Process Control, 79, 56-71. Lien externe

Lucke, M., Mei, X., Stief, A., Chioua, M., & Thornhill, N. F. (avril 2019). Variable Selection for Fault Detection and Identification based on Mutual Information of Alarm Series [Communication écrite]. 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS 2019), Florianópolis, Brazil. Publié dans IFAC-PapersOnLine, 52(1). Lien externe

Lindner, B., Chioua, M., Groenewald, J. W. D., Auret, L., & Bauer, M. (août 2018). Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index⁎⁎The authors gratefully acknowledge the support of Anglo American Platinum [Communication écrite]. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2018), Warsaw, Poland. Publié dans IFAC-PapersOnLine, 51(24). Lien externe

Lucke, M., Chioua, M., Grimholt, C., Hollender, M., & Thornhill, N. F. (août 2018). On improving fault detection and diagnosis using alarm-range normalisation [Communication écrite]. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2018), Warsaw, Poland. Publié dans IFAC-PapersOnLine, 51(24). Lien externe

Lucke, M., Chioua, M., Grimholt, C., Hollender, M., & Thornhill, N. F. (juillet 2018). Online Alarm Flood Classification Using Alarm Coactivations [Communication écrite]. 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018), Shenyang, China. Publié dans IFAC-PapersOnLine, 51(18). Lien externe

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Mohammadi, A., & Chioua, M. (août 2022). Improving first-principle model accuracy using a hybrid approach: A case study to high pressure grinding rolls in mineral industry [Communication écrite]. 19th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing (MMM 2022), Montréal, Canada. Publié dans IFAC PapersOnLine, 55(21). Lien externe

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Nguyen, B., & Chioua, M. (juillet 2024). Interpretable Propagation Path Neural Network for Fault Detection and Diagnosis [Communication écrite]. 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), Toronto, ON, Canada. Publié dans IFAC PapersOnLine, 58(14). Lien externe

Nguyen, B., & Chioua, M. (2024). A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems. Control Engineering Practice, 150, 105988 (17 pages). Lien externe

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Rodrigo, V., Chioua, M., Hagglund, T., & Hollender, M. (juin 2016). Causal analysis for alarm flood reduction [Communication écrite]. 11th IFAC Symposium on Dynamics and Control of Process Systems, Including Biosystems (DYCOPS-CAB 2016), Trondheim, Norway. Publié dans IFAC-PapersOnLine, 49(7). Lien externe

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Singh, R., Orimi, H. E., Raju Pedabaliyarasimhuni, P. K., Hoesli, C., & Chioua, M. (juillet 2024). Towards non-invasive quality monitoring and control of stem cell-derived pancreatic islet manufacturing [Communication écrite]. 12th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2024,Toronto, Ont.. Publié dans IFAC PapersOnLine, 58(14). Lien externe

Schmidt, B., Amihai, I., Chioua, M., Kotriwala, A. M., Hollender, M., Janka, D., Lenders, F., Schlake, J. C., Kloepper, B., & Abukwaik, H. (2023). Method and apparatus for monitoring machine learning models. [Procédé et appareils de surveillance de modèle d'apprentissage automatique]. (Demande de brevet no EP4127846). Lien externe

Schmidt, B., Amihai, I., Kotriwala, A. M., Chioua, M., Janka, D., Lenders, F., Schlake, J. C., Hollender, M., Abukwaik, H., & Kloepper, B. (2023). Method of transfer learning for a specific production process of an industrial plant. [Procédé d'apprentissage de transfert pour un procédé de production spécifique d'une installation industrielle]. (Demande de brevet no EP4128071). Lien externe

Schmid, J., Teichert, K., Chioua, M., Schindler, T., & Bortz, M. (2020). Industry-Driven Rapid Prototyping for Comparing Nonlinear Control Schemes in Pyomo. Chemie Ingenieur Tecknik, 92(12), 2016-2027. Lien externe

Sand, G., Chioua, M., Xu, C., Schmidt, W. A., Schlake, J. C., & Horch, A. (2013). System and method for plant wise asset management. [Système et procédé permettant une gestion d'actifs à l'échelle de l'usine]. (Demande de brevet no WO2013041440). Lien externe

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Thibault, É., Désilets, F. L., Poulin, B., Chioua, M., & Stuart, P. R. (2023). Comparison of signal processing methods considering their optimal parameters using synthetic signals in a heat exchanger network simulation. Computers & Chemical Engineering, 178, 108380 (16 pages). Lien externe

Thibault, É., Chioua, M., McKay, M., Korbel, M., Patience, G. S., & Stuart, P. R. (2023). Experimental methods in chemical engineering: Data processing and data usage in decision-making. Canadian Journal of Chemical Engineering, 101(11), 6055-6078. Lien externe

Thibault, É., Kelly, J. D., Désilets, F. L., Chioua, M., Poulin, B., & Stuart, P. R. (2023). Industrial Data-Driven Processing Framework Combining Process Knowledge for Improved Decision Making-Part 1: Framework Development. Processes, 11(8), 2376 (37 pages). Lien externe

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Ung, K., Nemer, O., Krishna, A., Chioua, M., & Doyon-Poulin, P. (octobre 2022). PER4Mance Prototyping environment for research on human-machine interactions for alarm floods management: the case study of a chemical plant process control [Communication écrite]. 66th International Annual Meeting of the Human Factors and Ergonomics Society, Washington, DC. Publié dans Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1). Disponible

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Yiakopoulos, C., Gryllias, K., Chioua, M., Hollender, M., & Antoniadis, I. (mai 2016). Advanced Analysis Toll for Early Anomaly Detection and Visualization in Large Scale Complex Industrial Installations [Communication écrite]. Euromaintenance Conference, Athens, Greece. Non disponible

Yiakopoulos, C., Gryllias, K., Chioua, M., Hollender, M., & Antoniadis, I. (2016). An on-line SAX and HMM-based anomaly detection and visualization tool for early disturbance discovery in a dynamic industrial process. Journal of Process Control, 44, 134-159. Lien externe

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Zhou, B., Chioua, M., Bauer, M., Schlake, J. C., & Thornhill, N. F. (2019). Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process. Industrial & Engineering Chemistry Research, 58(26), 11234-11250. Lien externe

Zhou, B., Chioua, M., & Schlake, J.-C. (juillet 2017). Practical methods for detecting and removing transient changes in univariate oscillatory time series [Communication écrite]. The 20th World Congress of the International Federation of Automatic Control, Paris, France. Publié dans IFAC-PapersOnLine, 50(1). Lien externe

Zhou, Y., Chioua, M., & Ni, W. (juin 2016). Data-driven multi-unit monitoring scheme with hierarchical fault detection and diagnosis [Communication écrite]. 24th Mediterranean Conference on Control and Automation (MED 2016), Athens, Greece. Lien externe