Showing 1 - 3 results of 3 for search 'Francisco Arellano-Espitia', query time: 0.02s Refine Results
  1. 1
    Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings

    Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings by Juan Jose Saucedo-Dorantes, Francisco Arellano-Espitia, Miguel Delgado-Prieto, Roque Alfredo Osornio-Rios

    Published 2021-08-01
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  2. 2
    Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems

    Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems by Francisco Arellano-Espitia, Miguel Delgado-Prieto, Victor Martinez-Viol, Juan Jose Saucedo-Dorantes, Roque Alfredo Osornio-Rios

    Published 2020-07-01
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    Article
  3. 3
    Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems

    Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems by Francisco Arellano-Espitia, Miguel Delgado-Prieto, Artvin-Darien Gonzalez-Abreu, Juan Jose Saucedo-Dorantes, Roque Alfredo Osornio-Rios

    Published 2021-08-01
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    Article

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