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Showing 1 to 4 of 4 for “"Sensor anomaly detection"”.

  1. Development of Industrial Internet of Things Architecture and Business Strategy for Digital Substation Asset Management

    … of on-load tap changer vibroacoustic monitoring sensor anomaly detection using artificial neural network autoencoder is explored as an enabled application of the IIoT technology. The autoencoder was able to discern artificially introduced anomaly in real vibroacoustic monitoring data.

    mit Repository record for Development of Industrial Internet of Things Architecture and Business Strategy for Digital Substation Asset Management (opens in a new tab)

  2. Multi-tiered architecture for automatic sensor failure detection in traffic systems: edge-fog-cloud collaboration for enhanced accuracy

    The increasing reliance on traffic sensor networks in intelligent transportation systems requires robust methods for ensuring the accuracy and reliability of sensor data. Traditional fault detection techniques often struggle with the high volume of data generated by these sensors, the dynamic …

    udel Repository record for Multi-tiered architecture for automatic sensor failure detection in traffic systems: edge-fog-cloud collaboration for enhanced accuracy (opens in a new tab)

  3. Toward Robust and Generalizable Spatiotemporal Modeling for Tasks beyond Forecasting and Classification

    … of traditional forecasting and classification: anomaly detection, domain adaptation, and causal discovery. It systematically examines these issues across three cross-disciplinary application domains and proposes targeted, scenario-specific solutions: textbf{(1) Anomaly Detection:} We develop …

    vt Repository record for Toward Robust and Generalizable Spatiotemporal Modeling for Tasks beyond Forecasting and Classification (opens in a new tab)