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Browsing by Author Zair, Mohamed

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Date de publicationTitreAuteur(s)
2019Automatic condition monitoring of electromechanical system based on MCSA, spectral kurtosis and SOM neural networkZair, Mohamed; Rahmoune, Chemseddine; Benazzouz, Djamel; Ratni, Azeddine
2019Automatic condition monitoring of electromechanical system based on MCSA, spectral kurtosis and SOM neural networkZair, Mohamed; Rahmoune, Chemseddine; Benazzouz, Djamel; Ratni, Azeddine
2021Bearing fault detection under time-varying speed based on empirical wavelet transform, cultural clan-based optimization algorithm, and random forest classifierMoussaoui, Imane; Rahmoune, Chemseddine; Zair, Mohamed; Benazzouz, Djamel
2020Contribution to the monitoring of industrial systems using artificial neural networksZair, Mohamed
2023Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifierRahmoune, Chemseddine; Amine Sahraoui, Mohammed; Gougam, Fawzi; Zair, Mohamed; Meddour, Ikhlas
2023Enhancing fault diagnosis of undesirable events in oil & gas systems: A machine learning approach with new criteria for stability analysis and classification accuracySahraoui, Mohammed Amine; Rahmoune, Chemseddine; Zair, Mohamed; Gougam, Fawzi; Damou, Ali
2018Gear Multi-Fault Feature Extraction and Classification Based on Fuzzy Entropy of Local Mean Decomposition, Singular Value Decomposition and MLP Neural NetworkZair, Mohamed; Rahmoune, Chemseddine; Benazzouz, Djamel
2018Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural networkZair, Mohamed; Rahmoune, Chemseddine; Benazzouz, Djamel
2019Multi-fault diagnosis of rolling bearingusing fuzzy entropy of empirical modedecomposition, principal componentanalysis, and SOM neural networkZair, Mohamed; Rahmoune, Chemseddine; Rahmoune, Chemseddine
Showing results 1 to 9 of 9

 

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