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Lotfi Saidi
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2020 – today
- 2025
[j6]Amal Hadj Slama, Lotfi Saidi
, Majdi Saidi, Mohamed Benbouzid
:
Metaheuristic Optimization of Hybrid Renewable Energy Systems Under Asymmetric Cost-Reliability Objectives: NSGA-II and MOPSO Approaches. Symmetry 17(9): 1412 (2025)
[c18]Tarek Berghout, Eric Bechhoefer, Lotfi Saidi, Chakib Ben Njima:
Wavelet Images and Joint Deep-Machine Learning for Anomaly Detection in Airbus Helicopters Exclusively with Healthy Accelerometer Data. ICCAD 2025: 1-6
[c17]Tarek Berghout, Lotfi Saidi, Chakib Ben Njima:
Towards Efficient Monitoring of Slowly Evolving Degradation Processes: Insights on Feedback Mechanisms in Future Neural Network. ICCAD 2025: 1-6
[c16]Ahmed Chennana, Noureddine Bessous, Ahmed Chaouki Megherbi, Lotfi Saidi, Salim Sbaa, Mounir Sayadi, Ali Teta:
Deep-Shallow Features Fusion for Induction Motor Fault Diagnosis through Infrared Thermography Images. ICCAD 2025: 1-6
[c15]Hela Gannoun, Lotfi Saidi, Jihene Sidhom:
Enhancing Battery State of Health Estimation Using a Hybrid Kalman Filter and LSTM Approach. ICCAD 2025: 1-6
[c14]Sirine Khalfallah, Lotfi Saidi:
Bibliometric Analysis of Emerging Trends and Future Directions in AI-Driven Fault Diagnosis for Photovoltaic Systems Using Advanced Image Processing Techniques. ICCAD 2025: 1-6
[c13]Jihene Sidhom, Lotfi Saidi, Hela Gannoun:
AI-Driven Prognostics for Wind Turbine Bearings: Predicting Degradation with Limited Data. ICCAD 2025: 1-6
[c12]Amal Hadj Slama, Lotfi Saidi, Majdi Saidi:
AI-Driven Optimal Sizing for a Stand-alone Hybrid Renewable Energy Systems: A Multi-Objective Comparison of NSGA-II and PSO. ICCAD 2025: 1-6
[c11]Ali Teta, Ahmed Chennana, Lotfi Saidi, Mounir Sayadi, Derradji Bakria
, Belkacem Korich:
Infrared Image-Based Partial Shading Detection in Photovoltaic Systems using Deep Feature Extraction and Machine Learning Classifiers. ICCAD 2025: 1-6- 2023
[j5]Jaouher Ben Ali
, Chaima Azizi, Lotfi Saidi, Eric Bechhoefer, Mohamed Benbouzid:
Reliable state of health condition monitoring of Li-ion batteries based on incremental support vector regression with parameters optimization. J. Syst. Control. Eng. 237(4): 717-727 (2023)
[c10]Meriem Bousebsi
, Ammar Medoued, Lotfi Saidi:
Data-Driven and Physics-Based Approaches for Wind Turbine High-Speed Shaft Bearing Prognostics. ICCAD 2023: 1-6
[c9]Amal Hadj Slama, Sana Toumi, Majdi Saidi, Lotfi Saidi:
HRES Systems State of the Art: Topologies, Sizing Approaches, and Evaluation Criteria. ICCAD 2023: 1-6- 2021
[c8]Lotfi Saidi, Mohamed Benbouzid:
Renewable Energy Systems Prognostics and Health Management: A Review of Recent Advances. IECON 2021: 1-6- 2020
[j4]Tarek Berghout
, Leila Hayet Mouss, Ouahab Kadri
, Lotfi Saidi, Mohamed Benbouzid:
Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine. Eng. Appl. Artif. Intell. 96: 103936 (2020)
[j3]Adla Ismail
, Lotfi Saidi
, Mounir Sayadi, Mohamed Benbouzid:
Remaining useful lifetime prediction of thermally aged power insulated gate bipolar transistor based on Gaussian process regression. Trans. Inst. Meas. Control 42(13): 2507-2518 (2020)
2010 – 2019
- 2019
[c7]Adla Ismail
, Lotfi Saidi, Mounir Sayadi, Mohamed Benbouzid:
Gaussian Process Regression Remaining Useful Lifetime Prediction of Thermally Aged Power IGBT. IECON 2019: 6004-6009
[c6]Lotfi Saidi, Mohamed Benbouzid, Demba Diallo
, Yassine Amirat
, Elhoussin Elbouchikhi, Tianzhen Wang:
PMSG-based Tidal Current Turbine Biofouling Diagnosis using Stator Current Bispectrum Analysis. IECON 2019: 6998-7003- 2018
[j2]Jaouher Ben Ali, Lotfi Saidi
:
A new suitable feature selection and regression procedure for lithium-ion battery prognostics. Int. J. Comput. Appl. Technol. 58(2): 102-115 (2018)
[c5]Sharaf Eddine Kramti, Jaouher Ben Ali, Lotfi Saidi, Mounir Sayadi
, Eric Bechhoefer:
Direct Wind Turbine Drivetrain Prognosis Approach Using Elman Neural Network. CoDIT 2018: 859-864
[c4]Lotfi Saidi, Jaouher Ben Ali, Mohamed Benbouzid, Eric Bechhoefer:
Wind turbine drivetrain prognosis approach based on Kalman smoother with confidence bounds. ICIT 2018: 1865-1870- 2017
[c3]Lotfi Saidi, Jaouher Ben Ali, Eric Bechhoefer, Mohamed Benbouzid:
Particle filter-based prognostic approach for high-speed shaft bearing wind turbine progressive degradations. IECON 2017: 8099-8104- 2015
[j1]Jaouher Ben Ali
, Lotfi Saidi, Aymen Mouelhi
, Brigitte Chebel-Morello, Farhat Fnaiech:
Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations. Eng. Appl. Artif. Intell. 42: 67-81 (2015)- 2014
[c2]Lotfi Saidi, Jaouher Ben Ali
, Farhat Fnaiech, Brigitte Morello:
Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis. SoCPaR 2014: 25-30- 2012
[c1]Lotfi Saidi, Farhat Fnaiech, Gérard-André Capolino
, Humberto Henao:
Stator current bi-spectrum patterns for induction machines multiple-faults detection. IECON 2012: 5132-5137
Coauthor Index

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