Lotfi Saidi at University of Sousse | Tunisia
Prof. Lotfi Saidi is a leading researcher in signal processing, intelligent fault diagnosis, and prognostics of rotating machinery. His work focuses on applying advanced vibration analysis, empirical mode decomposition, spectral analysis, and machine learning techniques (such as neural networks and support vector machines) to bearing fault detection and remaining useful life prediction. He has made significant contributions to condition monitoring of industrial systems, particularly in wind turbines and high-speed rotating equipment, helping improve reliability, safety, and predictive maintenance in engineering applications.
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