Lotfi Saidi
Orcid: 0000-0002-3419-8583
According to our database1,
Lotfi Saidi
authored at least 15 papers
between 2012 and 2023.
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Bibliography
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
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