A5037828301- Gear and Bearing Dynamics Analysis
- Mechanical Engineering and Vibrations Research
- Tribology and Lubrication Engineering
- Advanced machining processes and optimization
- Machine Fault Diagnosis Techniques
- Engineering Diagnostics and Reliability
- Iterative Learning Control Systems
- Structural Health Monitoring Techniques
- Hydraulic and Pneumatic Systems
- Vibration and Dynamic Analysis
- Fault Detection and Control Systems
- Vibration Control and Rheological Fluids
- Vehicle Dynamics and Control Systems
- Blind Source Separation Techniques
- Mechanical Behavior of Composites
- Automotive and Human Injury Biomechanics
- Cellular and Composite Structures
- Magnetic Bearings and Levitation Dynamics
- Spectroscopy and Chemometric Analyses
- High-Velocity Impact and Material Behavior
- Engineering Technology and Methodologies
- Structural Response to Dynamic Loads
- Elasticity and Material Modeling
- Composite Material Mechanics
- Dynamics and Control of Mechanical Systems
University of Sfax
2016-2025
National Engineering School of Tunis
2006-2021
Wrocław University of Science and Technology
2019-2021
University of Gabès
2021
AGH University of Krakow
2021
University of Pretoria
2021
Laboratoire de Mécanique, Modélisation & Procédés Propres
2017-2020
Hacettepe University
2020
Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines
2005-2019
Universidad de Cantabria
2019
Gearboxes usually run under fluctuating load conditions during service, however most of papers available in the literature describe models gearboxes stationary conditions. Main task published is fault modeling for their detection. Considering real situation from industry, assumption stationarity cannot be longer kept. Vibration signals issued monitoring maintenance operations differ mentioned (due to non-stationarity) and may difficult analyze which lead erroneous diagnosis system. The...
Abstract Machine learning algorithms (MLAs) are increasingly being used as effective techniques for processing vibration signals obtained from complex industrial machineries. Previous applications of automatic fault detection in the diagnosis rotating machines were mainly based on historical operating data sets, limiting diagnostic reliability to devices with an extended history. Moreover, physically collected often restricted by conditions acquisition and specific elements which they...
Gearboxes usually run under fluctuating load conditions during service, however most of papers available in the literature describe models gearboxes stationary conditions. Main task published is fault modeling for their detection. Considering real situation from industry, assumption stationarity cannot be longer kept. Vibration signals issued monitoring maintenance operations differ mentioned (due to non-stationarity) and may difficult analyze which lead erroneous diagnosis system. The...
A novel active suspension control design method is proposed for attenuating vibrations caused by road disturbance inputs in vehicle systems. For the algorithm, we propose an intelligent PD controller structure that effectively rejects online estimated disturbances. The main theoretical techniques used this paper consist of ultra-local model which replaces mathematical quarter car system and a new algebraic estimator unknown information. measurement only input output variables plant required...
The ensemble empirical mode decomposition (EEMD) was largely used in the diagnosis of rotating machines, this method could detect defect at an early stage case non variable speed or slightly variable, but when machine varies acceleration deceleration use EEMD under these conditions shows a limitation with detection impulses, that are influenced by presence mixing, and end effect. To shocks due to where variation is forced working conditions, we propose Variational Mode Decomposition (VMD)...
Abstract Modeling planetary gearboxes is an important field of research, since it helps in condition based monitoring the system. Multiple models with different approaches were developed last decades. They showed interesting results, but they did not reflect all involved phenomena. Indeed, specifically a complex rotating systems such as staged gearboxes, those only approximated dynamic behavior investigated Hence, this paper, algorithm modeling gearbox vibration signature proposed on...