Radhia Fezai

Orcid: 0000-0002-5281-8301

According to our database1, Radhia Fezai authored at least 21 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

2022
Efficient Fault Detection and Diagnosis in Photovoltaic System Using Deep Learning Technique.
Proceedings of the 8th International Conference on Control, 2022

Deep Learning for Fault Detection and Diagnosis: Application to Photovoltaic System.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
Fault diagnosis of biological systems using improved machine learning technique.
Int. J. Mach. Learn. Cybern., 2021

Online statistical hypothesis test for leak detection in water distribution networks.
J. Intell. Fuzzy Syst., 2021

A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation.
IEEE Access, 2021

A Novel Leak Detection Approach in Water Distribution Networks.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Random forest-based nonlinear improved feature extraction and selection for fault classification.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Reduced GPR based RF Approach for Fault Diagnosis of Wind Energy Conversion Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Enhanced RF for Fault Detection and Diagnosis of Uncertain PV systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Partial kernel PCA-based GLRT for fault diagnosis of nonlinear processes.
J. Intell. Fuzzy Syst., 2020

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems.
IEEE Access, 2020

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS.
IEEE Access, 2020

Fault detection of uncertain nonlinear process using interval-valued data-driven approach.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

2019
Reduced Gaussian process regression for fault detection of chemical processes.
Proceedings of the International Conference on Internet of Things, 2019

Machine learning based Gaussian process regression for fault detection of Biological Systems.
Proceedings of the International Conference on Internet of Things, 2019

Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the International Conference on Internet of Things, 2019

Diagnosis of nonlinear systems using reduced kernel principal component analysis.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2019

2018
Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA.
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018

2017
Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Online process monitoring based on kernel method.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017


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