Jaouher Ben Ali

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

Jaouher Ben Ali, Nader Fnaiech, Lotfi Saïdi et al. · Applied Acoustics · 2014 · 764 citations

Engineering, Mechanical Engineering, Machine Learning +16

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

Jaouher Ben Ali, Brigitte Chebel‐Morello, Lotfi Saïdi et al. · Mechanical Systems and Signal Processing · 2014 · 500 citations

Engineering, Data Science, Machine Learning +14

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

Lotfi Saïdi, Jaouher Ben Ali, Eric Bechhoefer et al. · Applied Acoustics · 2017 · 241 citations

Engineering, Risk Management, Wind Engineering +9

Application of higher order spectral features and support vector machines for bearing faults classification

Lotfi Saïdi, Jaouher Ben Ali, Farhat Fnaiech · ISA Transactions · 2014 · 202 citations

Computing, Computer Science, Data Mining +15

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

Lotfi Saïdi, Jaouher Ben Ali, Farhat Fnaiech · ISA Transactions · 2014 · 155 citations

Engineering, Electrical Engineering, Instrumentation +16