Mohamed Lamine Bouhalais

Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses

Nouredine Ouelaa, Abderrazek Djebala, Lilia Chaabi, 2020 .

Rolling Bearing Local Fault Detection During a Run-Up Test Using Wavelet-Filtered CEEMDAN Envelopes

Nouredine Ouelaa, Abderrazek Djebala, Mohamed Lamine Bouhalais, 2019 .

Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)

Salim Belhadi, Riad Khettabi, Mourad Nouioua, 2017 .

CEEMDAN and OWMRA as a hybrid method for rolling bearing fault diagnosis under variable speed

Nouredine Ouelaa, Abderrazek Djebala, Mohamed Khemissi Babouri, 2018 .

Machinability study and ANN-MOALO-based multi-response optimization during Eco-Friendly machining of EN-GJL-250 cast iron

Hammoudi Abderazek, Mourad Nouioua, Mohamed Athmane Yallese, 2021, The International Journal of Advanced Manufacturing Technology.

Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses

Mohamed Lamine Bouhalais, A. Djebala, N. Ouelaa, 2020, The International Journal of Advanced Manufacturing Technology.

CEEMDAN and OWMRA as a hybrid method for rolling bearing fault diagnosis under variable speed

Mohamed Khemissi Babouri, Mohamed Lamine Bouhalais, A. Djebala, 2017, The International Journal of Advanced Manufacturing Technology.

The analysis of tool vibration signals by spectral kurtosis and ICEEMDAN modes energy for insert wear monitoring in turning operation

Mohamed Lamine Bouhalais, Mourad NOUIOUA, Mohamed Lamine BOUHALAIS, 2021, The International Journal of Advanced Manufacturing Technology.

Vibration-based tool wear monitoring using artificial neural networks fed by spectral centroid indicator and RMS of CEEMDAN modes

Mohamed Lamine Bouhalais, Mourad NOUIOUA, Mohamed Lamine BOUHALAIS, 2021, The International Journal of Advanced Manufacturing Technology.

Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)

Mohamed Lamine Bouhalais, M. Yallese, S. Belhadi, 2017, The International Journal of Advanced Manufacturing Technology.