Lotfi Saidi

Orcid: 0000-0002-3419-8583

According to our database1, Lotfi Saidi authored at least 24 papers between 2012 and 2025.

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

2025
Metaheuristic Optimization of Hybrid Renewable Energy Systems Under Asymmetric Cost-Reliability Objectives: NSGA-II and MOPSO Approaches.
Symmetry, 2025

Infrared Image-Based Partial Shading Detection in Photovoltaic Systems using Deep Feature Extraction and Machine Learning Classifiers.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

AI-Driven Optimal Sizing for a Stand-alone Hybrid Renewable Energy Systems: A Multi-Objective Comparison of NSGA-II and PSO.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

AI-Driven Prognostics for Wind Turbine Bearings: Predicting Degradation with Limited Data.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Bibliometric Analysis of Emerging Trends and Future Directions in AI-Driven Fault Diagnosis for Photovoltaic Systems Using Advanced Image Processing Techniques.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Enhancing Battery State of Health Estimation Using a Hybrid Kalman Filter and LSTM Approach.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Deep-Shallow Features Fusion for Induction Motor Fault Diagnosis through Infrared Thermography Images.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Towards Efficient Monitoring of Slowly Evolving Degradation Processes: Insights on Feedback Mechanisms in Future Neural Network.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Wavelet Images and Joint Deep-Machine Learning for Anomaly Detection in Airbus Helicopters Exclusively with Healthy Accelerometer Data.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

2023
Reliable state of health condition monitoring of Li-ion batteries based on incremental support vector regression with parameters optimization.
J. Syst. Control. Eng., April, 2023

HRES Systems State of the Art: Topologies, Sizing Approaches, and Evaluation Criteria.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Data-Driven and Physics-Based Approaches for Wind Turbine High-Speed Shaft Bearing Prognostics.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2021
Renewable Energy Systems Prognostics and Health Management: A Review of Recent Advances.
Proceedings of the IECON 2021, 2021

2020
Remaining useful lifetime prediction of thermally aged power insulated gate bipolar transistor based on Gaussian process regression.
Trans. Inst. Meas. Control, 2020

Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine.
Eng. Appl. Artif. Intell., 2020

2019
PMSG-based Tidal Current Turbine Biofouling Diagnosis using Stator Current Bispectrum Analysis.
Proceedings of the IECON 2019, 2019

Gaussian Process Regression Remaining Useful Lifetime Prediction of Thermally Aged Power IGBT.
Proceedings of the IECON 2019, 2019

2018
A new suitable feature selection and regression procedure for lithium-ion battery prognostics.
Int. J. Comput. Appl. Technol., 2018

Wind turbine drivetrain prognosis approach based on Kalman smoother with confidence bounds.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Direct Wind Turbine Drivetrain Prognosis Approach Using Elman Neural Network.
Proceedings of the 5th International Conference on Control, 2018

2017
Particle filter-based prognostic approach for high-speed shaft bearing wind turbine progressive degradations.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2015
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., 2015

2014
Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

2012
Stator current bi-spectrum patterns for induction machines multiple-faults detection.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012


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