Mohamed Lamine Bouhalais

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

Mourad Nouioua, Mohamed Athmane Yallese, Riad Khettabi et al. · The International Journal of Advanced Manufacturing Technology · 2017 · 88 citations

Engineering, Industrial Engineering, Response Surface Methodology +5

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

Mohamed Lamine Bouhalais, Abderrazek Djebala, Nouredine Ouelaa et al. · The International Journal of Advanced Manufacturing Technology · 2017 · 42 citations

Variable Speed, Fault Diagnosis, Condition Monitoring +8

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

Lilia Chaabi, Ahcene Lemzadmi, Abderrazek Djebala et al. · The International Journal of Advanced Manufacturing Technology · 2020 · 42 citations

Fault Diagnosis, Condition Monitoring, Improved Ceemdan +8

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 · The International Journal of Advanced Manufacturing Technology · 2021 · 40 citations

Condition Monitoring, Spectral Kurtosis, Engineering +12

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

Mourad Nouioua, Mohamed Lamine Bouhalais · The International Journal of Advanced Manufacturing Technology · 2021 · 26 citations

Vibration-based Tool, Monitoring Technology, Condition Monitoring +13