Invention Grant
- Patent Title: Anomaly classifier
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Application No.: US15415288Application Date: 2017-01-25
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Publication No.: US10915558B2Publication Date: 2021-02-09
- Inventor: Sundeep R Patil , Ansh Kapil , Oliver Baptista
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F16/28 ; G06F16/2458

Abstract:
According to some embodiments, a system and method are provided to classify an anomaly. The method comprises receiving, from an anomaly detection system, time-series data that comprises one or more anomalies. The time-series data is grouped into a plurality of groups based on a scale range. For each group of the plurality of groups, statistical features are extracted from the time-series data. The extracted statistical features associated with the plurality of groups are combined and the one or more anomalies are classified based on the combined extracted statistical features.
Public/Granted literature
- US20180210942A1 ANOMALY CLASSIFIER Public/Granted day:2018-07-26
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