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US 2019/0197236 A1Published application
Reconstruction-based anomaly detection
AssigneeNEC Laboratories America, Inc.
InventorsAlexandru Niculescu-Mizil, Eric Cosatto, Xavier Fontaine
Life of this patent
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Abstract
Methods and systems for detecting and correcting anomalies include predicting normal behavior of a monitored system based on training data that includes only sensor data collected during normal behavior of the monitored system. The predicted normal behavior is compared to recent sensor data to determine that the monitored system is behaving abnormally. A corrective action is performed responsive to the abnormal behavior to correct the abnormal behavior.
Claims20
A method for detecting and correcting anomalies, comprising:
- predicting normal behavior of a monitored system based on training data that includes only sensor data collected during normal behavior of the monitored system;
- comparing the predicted normal behavior to recent sensor data to determine that the monitored system is behaving abnormally;
- and
- performing a corrective action responsive to the abnormal behavior to correct the abnormal behavior.
1 more element
A system for detecting and correcting anomalies, comprising:
- a machine learning model configured to predict normal behavior of a monitored system based on training data that includes only sensor data collected during normal behavior of the monitored system;
- an anomaly module comprising a processor configured to compare the predicted normal behavior to recent sensor data to determine that the monitored system is behaving abnormally;
- and
- a control module configured to perform a corrective action responsive to the abnormal behavior to correct the abnormal behavior.
1 more element
Dependencies are inferred from the claim text.