Abdellatif Seghiour

Deep learning method based on autoencoder neural network applied to faults detection and diagnosis of photovoltaic system

Abdellatif Seghiour, Hamou Ait Abbas, Aissa Chouder et al. · Simulation Modelling Practice and Theory · 2022 · 58 citations

Fault Diagnosis, Engineering, Machine Learning +6

Design of Real-time PID tracking controller using Arduino Mega 2560for a permanent magnet DC motor under real disturbances

Zarifi Adel, Ait Abbas Hamou, Abdellatif Seghiour · 2018 · 37 citations

Real Disturbances, Motion Control, Industrial Electronics +15

Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions

Elmamoune Halassa, Lakhdar Mazouz, Abdellatif Seghiour et al. · Energies · 2023 · 20 citations · Full text

Engineering, Energy Efficiency, Photovoltaic Systems +18

Detection of rotor faults based on Hilbert Transform and neural network for an induction machine

Saddam Bensaoucha, A. Ameur, Bessedik Sid Ahmed et al. · 2017 · 15 citations

Fault Diagnosis, Condition Monitoring, Engineering +12

A Deep Learning Based on Sparse Auto-Encoder with MCSA for Broken Rotor Bar Fault Detection and Diagnosis

Abdellatif Seghiour, Aissa Chouder, Ait Abbas Hamou et al. · 2018 · 13 citations

Fault Diagnosis, Condition Monitoring, Engineering +13