Deep Learning-Enhanced Fault Detection and Localization in Induction Motor Drives: A ResMLP and TCN Framework
Hamza Adaika, Khaled Laadjal, Zoheir Tir, Mohamed Sahraoui
Productions scientifiques
PumpSpectra: An MCSA-Based Platform for Fault Detection in Centrifugal Pump Systems
Hamza Adaika, Zoheir Tir, Mohamed Sahraoui, Khaled Laadjal
Utilizing Short-Time Fourier Transform for the Diagnosis of Rotor Bar Faults in Induction Motors Under Direct Torque Control
Radouane Bousseksou, Noureddine Bessous, I. M. Elzein, Mohamed Metwally Mahmoud, Alfian Ma’arif, Ezzeddine Touti, Ayman Al‐Quraan, Noha Anwer
International Journal of Robotics and Control SystemsVolume 5، (2)، Pages 1441-14572025Article Accès ouvert 6
An efficient bearing fault detection strategy based on a hybrid machine learning technique
Khalid Alqunun, Mohammed Bachir Bechiri, Naoui Mohamed, Abderrahmane Khechekhouche, Ismail Marouani, Tawfik Guesmi, Badr M. Alshammari, Amer AlGhadhban, Abderrahim Allal
Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion
Ahmed Chennana, Ahmed Chaouki Megherbi, Noureddine Bessous, Salim Sbaa, Ali Teta, El Ouanas Belabbaci, Abdelaziz Rabehi, Mawloud Guermoui, Takele Ferede Agajie
Detailed Analysis of the Strengths of EEMD and VMD Techniques for Bearing Fault Detection
Yasser Damine, Ahmed Chaouki Megherbi, Salim Sbaa, Noureddine Bessous
Comparative study of kurtosis and L-kurtosis for bearing fault classification in induction motors
Merabet Leila, Leila Boucerredj, Meriem Behim, Khechekhouch Abderrahmane
Diagnosis of bearing faults using an advanced feature extraction based on WPT and EEV methods
Radouane Bousseksou, Noureddine Bessous, Mohamed Metwally Mahmoud
Enhancing power transformer health assessment through dimensional reduction and ensemble approaches in Dissolved Gas Analysis
Abdelmoumene Hechifa, Saurabh Dutta, Abdelaziz Lakehal, Hazlee Azil Illias, Arnaud Nanfak, Chouaib Labiod
Corrigendum to “Predictive torque control of induction motor for rotor bar faults diagnosis” [Energy Rep. 11 (2024) 4940–4956]
Tarek Bedida, Salim Makhloufi, Youcef Bekakra, Mostefa Kermadi, Noureddine Bessous, Ridha Kechida, Djamel Taibi
Predictive torque control of induction motor for rotor bar faults diagnosis
Tarek Bedida, Salim Makhloufi, Youcef Bekakra, Mostefa Kermadi, Noureddine Bessous, Ridha Kechida, Djamel Taibi
Comparative analysis of harmonic sensitivity for stator fault diagnosis in induction motors
Abderrahim Allal, Zakaria Lammouchi, Abderrahmane Khechekhouche, Antônio Marcos de Oliveira Siqueira, Júlio César Costa Campos, Kheireddine Lamamra
Advanced Residual Optimal Mapping Approach for Precise Detection of Stator Faults in Induction Motors
Abderrahim Allal, Zakaria Lammouchi, Abderrahmane Khechekhouche, Naoui Mohamed, Khalid Alqunun, Amer AlGhadhban, Ismail Marouani, Tawfik Guesmi
Effective Diagnosis Approach for Broken Rotor Bar Fault Using Bayesian-Based Optimization of Machine Learning Hyperparameters
Mohammed Bachir Bechiri, Abderrahim Allal, Naoui Mohamed, Abderrahmane Khechekhouche, Haitham Alsaif, Attia Boudjemline, Badr M. Alshammari, Khalid Alqunun, Tawfik Guesmi
Diagnosis of Rotor Broken Bar Faults in Induction Motors Using the CNN-Based Current Signal
Hamza Adaika, Zoheir Tir, Mohamed Sahraoui
Pages 764-7682023Communication Accès ouvert✔ Validé par une unité 2
Machine Learning Algorithms Fusion Based on DGA Data for Improving Fault Diagnosis of Electrical Power Transformer
Abdelmoumene Hechifa, Abdelaziz Lakehal, Arnaud Nanfak, Lotfi Saïdi, Chouaib Labiod
The Scientific Bulletin of Electrical Engineering FacultyVolume 23، (2)، Pages 5-112023Article Accès ouvert 8
Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis
Abdelmoumene Hechifa, Abdelaziz Lakehal, Arnaud Nanfak, Lotfi Saïdi, Chouaib Labiod, Ridha Kelaiaia, Sherif S. M. Ghoneim
Early Bearing Fault Detection Using EEMD and Three-Sigma Rule Denoising Method
Yasser Damine, Noureddine Bessous, Ahmed Chaouki Megherbi, Salim Sbaa
A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process
Yasser Damine, Noureddine Bessous, Rémus Pusca, Ahmed Chaouki Megherbi, Raphaël Romary, Salim Sbaa
Mechanical Failure Detection in Induction Motors Using Stator Current and Stray Flux Analysis Techniques
Rémus Pusca, Salim Sbaa, Noureddine Bessous, Raphaël Romary, Radouane Bousseksou
Pages 192022Autre Accès ouvert 7