Djamel Benazzouz

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

A novel gearbox fault feature extraction and classification using Hilbert empirical wavelet transform, singular value decomposition, and SOM neural network

Boualem Merainani, Chemseddine Rahmoune, Djamel Benazzouz et al. · Journal of Vibration and Control · 2017 · 61 citations

Fault Diagnosis, Condition Monitoring, Engineering +13

Early detection of tooth crack damage in gearbox using empirical wavelet transform combined by Hilbert transform

Boualem Merainani, Djamel Benazzouz, Chemseddine Rahmoune · Journal of Vibration and Control · 2015 · 55 citations

Modal Analysis, Condition Monitoring, Tooth Crack Damage +15

Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions

Fawzi Gougam, Chemseddine Rahmoune, Djamel Benazzouz et al. · Journal of Vibroengineering · 2019 · 38 citations · Full text

Fault Diagnosis, Condition Monitoring, Reliability Engineering +12

Energy-based USV maritime monitoring using multi-objective evolutionary algorithms

Hand Ouelmokhtar, Yahia Benmoussa, Djamel Benazzouz et al. · Ocean Engineering · 2022 · 37 citations

Naval Architecture, Energy-based Usv Maritime, Engineering +4