Khaled Dhibi

Orcid: 0000-0003-4802-9980

According to our database1, Khaled Dhibi authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems.
IEEE Access, 2023

2022
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems.
IEEE Access, 2022

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems.
IEEE Access, 2022

Enhanced Recurrent Neural Network for Fault Diagnosis of Uncertain Wind Energy Conversion Systems.
Proceedings of the 8th International Conference on Control, 2022

Improved Ensemble Approach for Fault Diagnosis of Wind Energy Conversion Systems.
Proceedings of the 8th International Conference on Control, 2022

Reduced KPCA based Ensemble Learning Approach for Fault Diagnosis of Grid-Connected PV Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

Uncertain Fault Diagnosis of Grid-Connected PV Systems based Improved Data-Driven Paradigms.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems.
IEEE Access, 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

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

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


  Loading...