| Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural network M Zair, C Rahmoune, D Benazzouz Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2019 | 57 | 2019 |
| Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system F Gougam, C Rahmoune, D Benazzouz, A Afia, M Zair Advances in Mechanical Engineering 12 (10), 1687814020967874, 2020 | 26 | 2020 |
| Bearing fault detection under time-varying speed based on empirical wavelet transform, cultural clan-based optimization algorithm, and random forest classifier M Imane, C Rahmoune, M Zair, D Benazzouz Journal of Vibration and Control 29 (1-2), 286-297, 2023 | 11 | 2023 |
| Automatic condition monitoring of electromechanical system based on MCSA, spectral kurtosis and SOM neural network Z Mohamed, R Chemseddine, B Djamel, R Azeddine Journal of Vibroengineering 21 (8), 2082-2095, 2019 | 9 | 2019 |
| New criteria for wrapper feature selection to enhance bearing fault classification MA Sahraoui, C Rahmoune, I Meddour, T Bettahar, M Zair Advances in Mechanical Engineering 15 (6), 16878132231183862, 2023 | 3 | 2023 |
| Automated Transformer fault diagnosis using infrared thermography imaging, GIST and machine learning technique A Mahami, C Rahmoune, M Zair, T Bettahar, D Benazzouz Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …, 2022 | 3 | 2022 |
| Gear multi-fault feature extraction and classification based on fuzzy entropy of local mean decomposition, singular value decomposition and MLP neural network A Adel, G Fawzi International Conference on Advanced Mechanics and Renewable Energies ICAMRE2018, 2018 | 3 | 2018 |
| Early bearing fault detection under different working conditions using Singular Value Decomposition (SVD) and Adaptatif Neuro Fuzzy Inference System (ANFIS) F Gougam, C Rahmoune, D Benazzouz, MI Zair, A Afia International conference on advanced mechanics and renewable energy (ICAMRE …, 2018 | 2 | 2018 |
| Enhancing fault diagnosis of undesirable events in oil & gas systems: A machine learning approach with new criteria for stability analysis and classification accuracy MA Sahraoui, C Rahmoune, M Zair, F Gougam, A Damou Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …, 2023 | 1 | 2023 |
| Gear fault diagnosis using maximal overlap discrete wavelet packet transform, fast kurtogram and kurtosis indicator A Afia, F Gougam, MI Zair, C Rahmoune, D Benazzouz Proc. Int. Conf. Adv. Mech. Renew. EnergiesAt, Boumerdes, Algeria, 1-5, 2018 | 1 | 2018 |
| Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier C Rahmoune, M Amine Sahraoui, F Gougam, M Zair, I Meddour Advances in Mechanical Engineering 15 (12), 16878132231216208, 2023 | | 2023 |
| A new health indicator extracted by unsupervised learning using autoencoder in tandem with t-sne and multi-kernel CNN to enhance the early detection and classification of … M Zair, C Rahmoune, M Imane, M Amine, D Benazzouz Journal of the Brazilian Society of Mechanical Sciences and Engineering 45 …, 2023 | | 2023 |
| Gearbox diagnosis using wavelet packet decomposition and spectral kurtosis DB F. Gougam, M. Zair, A. Afia, C. Rahmoune | | 2018 |
| Envelop analysis using empirical decomposition, kurtosis and Hilbert transform to enhance gearbox diagnosis DB A. Afia, F. Gougam, M. Zair, C. Rahmoune | | 2018 |
Chemseddine RAHMOUNE رحمون ش...Professeur, University M'Hamed Bougara of BoumerdesAdresse e-mail validée de univ-boumerdes.dz
