Moamar Sayed Mouchaweh

Orcid: 0000-0002-6929-986X

Affiliations:
  • École des Mines de Douai, France


According to our database1, Moamar Sayed Mouchaweh authored at least 78 papers between 2002 and 2024.

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Bibliography

2024
Fault prognosis of subsurface safety valve system with limited real data using self-adaptive neural network.
Evol. Syst., June, 2024

Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems.
Eng. Appl. Artif. Intell., 2024

Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

2023
Decentralized fault-tolerant controller based on cooperative smart-wireless sensors in large-scale buildings.
J. Netw. Comput. Appl., May, 2023

Explainable Predictive Maintenance.
CoRR, 2023

Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Faults explanation based on a machine learning model for predictive maintenance purposes.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Fault Tolerant Attitude Estimation for Satellite at Low Earth Orbit<sup>*</sup>.
Proceedings of the 9th International Conference on Control, 2023

2022
Switching predictive controller for building optimal thermal comfort.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Monitoring of Ball Bearing Based on Improved Real-Time OPTICS Clustering.
J. Signal Process. Syst., 2021

Unsupervised Bayesian Non Parametric approach for Non-Intrusive Load Monitoring based on time of usage.
Neurocomputing, 2021

2020
Adaptive neurofuzzy H-infinity control of DC-DC voltage converters.
Neural Comput. Appl., 2020

Online active learning for human activity recognition from sensory data streams.
Neurocomputing, 2020

Neural networks for online learning of non-stationary data streams: a review and application for smart grids flexibility improvement.
Artif. Intell. Rev., 2020

Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Asynchronous Stochastic Variational Inference.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2018

Active learning for classifying data streams with unknown number of classes.
Neural Networks, 2018

Discussion and review on evolving data streams and concept drift adapting.
Evol. Syst., 2018

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management.
Appl. Soft Comput., 2018

Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments.
Evol. Syst., 2017

Hybrid Self Adaptive Learning Scheme for Simple and Multiple Drift-like Fault Diagnosis in Wind Turbine Pitch Sensors.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Self-Adaptive Ensemble Classifier for Handling Complex Concept Drift.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

2016
Hybrid dynamic classifier for drift-like fault diagnosis in a class of hybrid dynamic systems: Application to wind turbine converters.
Neurocomputing, 2016

Active Learning for Data Streams Under Concept Drift and Concept Evolution.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach.
Inf. Sci., 2015

Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems.
Int. J. Control, 2015

Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines.
Evol. Syst., 2015

Adaptive and on-line learning in non-stationary environments.
Evol. Syst., 2015

Self-Adaptive Windowing Approach for Handling Complex Concept Drift.
Cogn. Comput., 2015

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications.
Comput. Ind., 2015

Adaptive Modular Approach for Online Fault Diagnosis of Discrete Event Systems.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Preface.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

A non-parametric hierarchical clustering model.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014
Discrete Event Systems - Diagnosis and Diagnosability
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-0031-8, 2014

Dynamic supervised classification method for online monitoring in non-stationary environments.
Neurocomputing, 2014

Special Issue: Evolving Soft Computing Techniques and Applications.
Appl. Soft Comput., 2014

Decentralized structure for fault diagnosis of a class of hybrid dynamic systems.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Graphical Model Based Approach for Fault Diagnosis of Wind Turbines.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Decentralized Diagnosis and Diagnosability of a Class of Hybrid Dynamic Systems.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014

Drift detection and monitoring in non-stationary environments.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2013
Inland navigation channel model: Application to the Cuinchy-Fontinettes reach.
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013

Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
A clustering-based approach for the identification of a class of temporally switched linear systems.
Pattern Recognit. Lett., 2012

Decentralized Fault Free Model Approach for Fault Detection and Isolation of Discrete Event Systems.
Eur. J. Control, 2012

Discussion on fault diagnosis methods of discrete event systems.
Proceedings of the 11th International Workshop on Discrete Event Systems, 2012

Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Adaptive Time Window Size to Track Concept Drift.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Learning in dynamic environments: application to the diagnosis of evolving systems.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

Dynamic pattern recognition for the diagnosis of evolving systems.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Boolean temporal model-based approach for the diagnosis of Discrete Event Systems.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

2010
Semi-supervised classification method for dynamic applications.
Fuzzy Sets Syst., 2010

A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems.
Evol. Syst., 2010

Learning in Dynamic Environments: Application to the Identification of Hybrid Dynamic Systems.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Dynamic K-Nearest Neighbors for the monitoring of evolving systems.
Proceedings of the FUZZ-IEEE 2010, 2010

Switched Hybrid Dynamic Systems identification based on pattern recognition approach.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Incremental Possibilistic Approach for Online Clustering and Classification.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

A Dynamic Classification Method for the Discrimination of Evolving Data.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Distributed modeling approach of discrete manufacturing systems by Parts of Plant.
Proceedings of the 10th European Control Conference, 2009

2007
Hybrid pattern recognition method to diagnose dynamic systems.
Proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, 2007

Decentralized approach for fault diagnosis of discrete event systems.
Proceedings of the ICINCO 2007, 2007

New results on diagnosis by fuzzy pattern recognition.
Proceedings of the ICINCO 2007, 2007

2006
Timed-Event-State-Based Diagnoser for Manufacturing Systems.
Proceedings of the Information Technology For Balanced Manufacturing Systems, 2006

2005
Detectability and diagnosability of discrete event systems - application on manufacturing systemsdo.
Proceedings of the ICINCO 2005, 2005

2004
A process monitoring module based on fuzzy logic and pattern recognition.
Int. J. Approx. Reason., 2004

Fuzzy pattern matching with adaptive bin width histograms to maximize classification performances.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2002
Conception d'un système de diagnostic adaptatif et prédictif basé sur la méthode Fuzzy Pattern Matching pour la surveillance en ligne des systèmes évolutifs.
PhD thesis, 2002

Elimination du bruit et détection des zones de haute densité.
Rev. d'Intelligence Artif., 2002

Recursive learning in real time using fuzzy pattern matching.
Math. Comput. Simul., 2002

Incremental learning in Fuzzy Pattern Matching.
Fuzzy Sets Syst., 2002


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