Mansour Hajji

Orcid: 0000-0003-3359-7678

According to our database1, Mansour Hajji authored at least 14 papers between 2013 and 2022.

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

Timeline

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Bibliography

2022
Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems.
Proceedings of the 8th International Conference on Control, 2022

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

Fault Classification using Deep Learning in a Grid-Connected Photovoltaic Systems.
Proceedings of the 8th International Conference on Control, 2022

Effective Fault Diagnosis in Grid Connected Photovoltaic Systems Using Multiscale PCA based Artificial Neural Network 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

Deep Learning based Fault Diagnosis in a Grid-Connected Photovoltaic Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems.
Eur. J. Control, 2021

Faults Classification in Grid-Connected Photovoltaic Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

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

Efficient fault detection and diagnosis of wind energy converter systems.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection and diagnosis in grid-connected photovoltaic systems.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Machine learning approaches for fault detection and diagnosis of induction motors.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection in photovoltaic systems using machine learning technique.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

2013
Influences analysis of geometrical parameters on propulsive force of LSRM.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013


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