Jaouher Ben Ali

发表

Online automatic diagnosis of wind turbine bearings progressive degradations under real experimental conditions based on unsupervised machine learning

Mohamed Benbouzid, Eric Bechhoefer, Jaouher Ben Ali, 2018 .

Wind turbine drivetrain prognosis approach based on Kalman smoother with confidence bounds

Mohamed Benbouzid, Eric Bechhoefer, Jaouher Ben Ali, 2018, 2018 IEEE International Conference on Industrial Technology (ICIT).

Wind turbine high-speed shaft bearings health prognosis through a spectral Kurtosis-derived indices and SVR

Mohamed Benbouzid, Eric Bechhoefer, Jaouher Ben Ali, 2017 .

Identification of early-stage Alzheimer's disease using SFAM neural network

Farhat Fnaiech, Cristin Bigan, Mircea Besleaga, 2014, Neurocomputing.

A new suitable feature selection and regression procedure for lithium-ion battery prognostics

Jaouher Ben Ali, Lotfi Saidi, L. Saidi, 2018, Int. J. Comput. Appl. Technol..

Reliable state of health condition monitoring of Li-ion batteries based on incremental support vector regression with parameters optimization

Mohamed Benbouzid, Eric Bechhoefer, Jaouher Ben Ali, 2020, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering.

An integrated wind turbine failures prognostic approach implementing Kalman smoother with confidence bounds

Mohamed Benbouzid, Jaouher Ben Ali, Lotfi Saidi, 2018, Applied Acoustics.

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

Brigitte Chebel-Morello, Farhat Fnaiech, Jaouher Ben Ali, 2015 .

Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images

Aymen Mouelhi, Mounir Sayadi, Jaouher Ben Ali, 2018, Comput. Methods Programs Biomed..

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

Brigitte Chebel-Morello, Simon Malinowski, Farhat Fnaiech, 2015 .

APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS FOR MEDICAL DIAGNOSTICS AND PROGNOSTICS

Jaouher Ben Ali, 2016 .

Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis

Brigitte Chebel-Morello, Farhat Fnaiech, Jaouher Ben Ali, 2014, SoCPaR.

Direct Wind Turbine Drivetrain Prognosis Approach Using Elman Neural Network

Mounir Sayadi, Eric Bechhoefer, Jaouher Ben Ali, 2018, 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT).

A New Adaptive Prognostic Strategy Based on Online Future Evaluation and Extended Kalman Filtering

Noureddine Zerhouni, Jaouher Ben Ali, Salma Harrath, 2019, 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT).

Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations

Brigitte Chebel-Morello, Aymen Mouelhi, Farhat Fnaiech, 2015, Eng. Appl. Artif. Intell..

State of health estimation of lithium-ion batteries based on regression techniques

Jaouher Ben Ali, Chaima Azizi, 2017, 2017 International Conference on Control, Automation and Diagnosis (ICCAD).

Particle filter-based prognostic approach for high-speed shaft bearing wind turbine progressive degradations

Mohamed Benbouzid, Eric Bechhoefer, Jaouher Ben Ali, 2017, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.

Accurate prediction of continuous blood glucose based on support vector regression and differential evolution algorithm

Jaouher Ben Ali, E. Moreau, J. Ginoux, 2018 .

Continuous blood glucose level prediction of Type 1 Diabetes based on Artificial Neural Network

Jaouher Ben Ali, J. Ginoux, F. Fnaiech, 2018 .

Toward an online strategy for mechanical failures diagnostics inside the wind turbine generators based on spectral analysis

Jaouher Ben Ali, Sharaf Eddine Kramti, M. Sayadi, 2021, Wind Engineering.

Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis

Farhat Fnaiech, Jaouher Ben Ali, Jaouher Ben Ali, 2014, 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

Jaouher Ben Ali, F. Fnaiech, L. Saidi, 2015 .