Invention Grant
- Patent Title: Content-aware anomaly detection and diagnosis
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Application No.: US15793358Application Date: 2017-10-25
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Publication No.: US10581665B2Publication Date: 2020-03-03
- Inventor: Wei Cheng , Haifeng Chen , Guofei Jiang
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: JP
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP
- Agent Joseph Kolodka
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L12/24 ; H04L12/26

Abstract:
Methods and systems for detecting a system fault include determining a network of broken correlations for a current timestamp, relative to a predicted set of correlations, based on a current set of sensor data. The network of broken correlations for the current timestamp is compared to networks of broken correlations for previous timestamps to determine a fault propagation pattern. It is determined whether a fault has occurred based on the fault propagation pattern. A system management action is performed if a fault has occurred.
Public/Granted literature
- US20180131560A1 CONTENT-AWARE ANOMALY DETECTION AND DIAGNOSIS Public/Granted day:2018-05-10
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