| 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 | 806 | 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 | 545 | 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 | 246 | 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 | 224 | 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 | 164 | 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 | 146 | 2018 |
| Diagnosis of broken-bars fault in induction machines using higher order spectral analysis L Saidi, F Fnaiech, H Henao, GA Capolino, G Cirrincione ISA transactions 52 (1), 140-148, 2013 | 99 | 2013 |
| 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 | 95 | 2015 |
| Aircraft engines remaining useful life prediction with an adaptive denoising online sequential extreme learning machine T Berghout, LH Mouss, O Kadri, L Saïdi, M Benbouzid Engineering Applications of Artificial Intelligence 96, 103936, 2020 | 77 | 2020 |
| 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 | 50 | 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 | 45 | 2016 |
| Aircraft engines remaining useful life prediction with an improved online sequential extreme learning machine T Berghout, LH Mouss, O Kadri, L Saïdi, M Benbouzid Applied Sciences 10 (3), 1062, 2020 | 39 | 2020 |
| RETRACTED: Experiences in renewable energy and energy efficiency in Tunisia: Case study of a developing country L Saidi, F Fnaiech Renewable and sustainable energy reviews 32, 729-738, 2014 | 29 | 2014 |
| A new data-driven approach for power IGBT remaining useful life estimation based on feature reduction technique and neural network A Ismail, L Saidi, M Sayadi, M Benbouzid Electronics 9 (10), 1571, 2020 | 26 | 2020 |
| The deterministic bispectrum of coupled harmonic random signals and its application to rotor faults diagnosis considering noise immunity L Saidi Applied Acoustics 122, 72-87, 2017 | 24 | 2017 |
| Gaussian process regression remaining useful lifetime prediction of thermally aged power IGBT A Ismail, L Saidi, M Sayadi, M Benbouzid IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 23 | 2019 |
| Stator current bi-spectrum patterns for induction machines multiple-faults detection L Saidi, F Fnaiech, GA Capolino, H Henao IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society …, 2012 | 23 | 2012 |
| Reliable state of health condition monitoring of Li-ion batteries based on incremental support vector regression with parameters optimization J Ben Ali, C Azizi, L Saidi, E Bechhoefer, M Benbouzid Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2023 | 21 | 2023 |
| 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 |
| Application of higher order spectral analysis for rotor broken bar detection in induction machines L Saidi, H Henao, F Fnaiech, GA Capolino, G Cirrincione 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics …, 2011 | 19 | 2011 |
Farhat FnaiechProfessor of Electrical Engineering, University of Tunis在 ieee.org 的电子邮件经过验证
