Showing 1 - 9 results of 9 for search 'Juan José Saucedo-Dorantes', query time: 0.14s Refine Results
  1. 1
    Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings
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    Article
  2. 2
    Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
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  3. 3
    Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems
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  4. 4
    Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network
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  5. 5
    Gradual Wear Diagnosis of Outer-Race Rolling Bearing Faults through Artificial Intelligence Methods and Stray Flux Signals
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  6. 6
    Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain
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  7. 7
    A Novel Deep Learning-Based Diagnosis Method Applied to Power Quality Disturbances
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  8. 8
    Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling
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  9. 9
    Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain
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    Article
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