Mohamed Zair

Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural network

Mohamed Zair, Chemseddine Rahmoune, Djamel Benazzouz · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2018 · 65 citations

Fault Diagnosis, Condition Monitoring, Engineering +14

Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system

Fawzi Gougam, Chemseddine Rahmoune, Djamel Benazzouz et al. · Advances in Mechanical Engineering · 2014 · 31 citations · Full text

Fault Diagnosis, Engineering, Machine Learning +21

Bearing fault detection under time-varying speed based on empirical wavelet transform, cultural clan-based optimization algorithm, and random forest classifier

Moussaoui Imane, Chemseddine Rahmoune, Mohamed Zair et al. · Journal of Vibration and Control · 2021 · 20 citations

Fault Diagnosis, Engineering, Machine Learning +16

Automatic condition monitoring of electromechanical system based on MCSA, spectral kurtosis and SOM neural network

Mohamed Zair, Chemseddine Rahmoune, Djamel Benazzouz et al. · Journal of Vibroengineering · 2019 · 11 citations · Full text

Fault Diagnosis, Condition Monitoring, Spectral Kurtosis +14