| Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals JB Ali, N Fnaiech, L Saidi, B Chebel-Morello, F Fnaiech Applied Acoustics 89, 16-27, 2015 | 834 | 2015 |
| Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network JB Ali, B Chebel-Morello, L Saidi, S Malinowski, F Fnaiech Mechanical Systems and Signal Processing 56, 150-172, 2015 | 569 | 2015 |
| Wind turbine high-speed shaft bearings health prognosis through a spectral Kurtosis-derived indices and SVR L Saidi, JB Ali, E Bechhoefer, M Benbouzid Applied Acoustics 120, 1-8, 2017 | 254 | 2017 |
| Application of higher order spectral features and support vector machines for bearing faults classification L Saidi, JB Ali, F Fnaiech ISA transactions 54, 193-206, 2015 | 228 | 2015 |
| Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis L Saidi, JB Ali, F Fnaiech ISA transactions 53 (5), 1650-1660, 2014 | 171 | 2014 |
| Online automatic diagnosis of wind turbine bearings progressive degradations under real experimental conditions based on unsupervised machine learning JB Ali, L Saidi, S Harrath, E Bechhoefer, M Benbouzid Applied Acoustics 132, 167-181, 2018 | 156 | 2018 |
| Accurate prediction of continuous blood glucose based on support vector regression and differential evolution algorithm T Hamdi, JB Ali, V Di Costanzo, F Fnaiech, E Moreau, JM Ginoux Biocybernetics and Biomedical Engineering 38 (2), 362-372, 2018 | 129 | 2018 |
| Continuous blood glucose level prediction of type 1 diabetes based on artificial neural network JB Ali, T Hamdi, N Fnaiech, V Di Costanzo, F Fnaiech, JM Ginoux Biocybernetics and Biomedical Engineering 38 (4), 828-840, 2018 | 127 | 2018 |
| Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations JB Ali, L Saidi, A Mouelhi, B Chebel-Morello, F Fnaiech Engineering Applications of Artificial Intelligence 42, 67-81, 2015 | 99 | 2015 |
| An integrated wind turbine failures prognostic approach implementing Kalman smoother with confidence bounds L Saidi, JB Ali, M Benbouzid, E Bechhofer Applied Acoustics 138, 199-208, 2018 | 53 | 2018 |
| The use of SESK as a trend parameter for localized bearing fault diagnosis in induction machines L Saidi, JB Ali, M Benbouzid, E Bechhoefer ISA transactions 63, 436-447, 2016 | 47 | 2016 |
| Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images A Mouelhi, H Rmili, JB Ali, M Sayadi, R Doghri, K Mrad Computer methods and programs in biomedicine 165, 37-51, 2018 | 46 | 2018 |
| Artificial neural network for blood glucose level prediction T Hamdi, JB Ali, N Fnaiech, V Di Costanzo, F Fnaiech, E Moreau, ... 2017 International Conference on Smart, Monitored and Controlled Cities …, 2017 | 34 | 2017 |
| Accurate detection of avian respiratory viruses by use of multiplex PCR-based luminex suspension microarray assay N Laamiri, P Fällgren, S Zohari, J Ben Ali, A Ghram, M Leijon, I Hmila Journal of Clinical Microbiology 54 (11), 2716-2725, 2016 | 26 | 2016 |
| Importance of the fourth and fifth intrinsic mode functions for bearing fault diagnosis J Benali, M Sayadi, F Fnaiech, B Morello, N Zerhouni 14th International Conference on Sciences and Techniques of Automatic …, 2013 | 26 | 2013 |
| Reliable State of Health Condition Monitoring of Li-ion Batteries based on Incremental Support Vector Regression with Parameters Optimization MB Jaouher Ben Ali, Chaima Azizi, Lotfi Saidi, Eric Bechhoefer Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2020 | 25* | 2020 |
| A new suitable feature selection and regression procedure for lithium-ion battery prognostics JB Ali, L Saidi International Journal of Computer Applications in Technology 58 (2), 102-115, 2018 | 21 | 2018 |
| Particle filter-based prognostic approach for high-speed shaft bearing wind turbine progressive degradations L Saidi, JB Ali, E Bechhoefer, M Benbouzid IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 19 | 2017 |
| Wind turbine high-speed shaft bearing degradation analysis for run-to-failure testing using spectral kurtosis L Saidi, E Bechhoefer, JB Ali, M Benbouzid 2015 16th International Conference on Sciences and Techniques of Automatic …, 2015 | 17 | 2015 |
| Bearing defects decision making using higher order spectra features and support vector machines L Saidi, F Fnaiech 14th International Conference on Sciences and Techniques of Automatic …, 2013 | 16 | 2013 |
Farhat FnaiechProfessor of Electrical Engineering, University of TunisVerified email at ieee.org
Farhat FnaiechProfessor of Electrical Engineering, University of TunisVerified email at ieee.org