Invention Grant
- Patent Title: Sensor data anomaly detection
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Application No.: US16455186Application Date: 2019-06-27
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Publication No.: US10915391B2Publication Date: 2021-02-09
- Inventor: Robert Meusel , Jaakob Kind , Atreju Florian Tauschinsky , Janick Frasch , Minji Lee , Michael Otto
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06F16/2458 ; G05B23/02 ; G06N7/00

Abstract:
Some embodiments include reception of a time-series of a respective data value generated by each of a plurality of sensors, calculation of a regression associated with a first sensor of the plurality of sensors based on the received plurality of time-series, the regression being a function of the respective data values of the others of the plurality of data sources, reception of respective data values associated with a time from and generated by each the plurality of respective sensors, determination of a predicted value associated with the time for the first sensor based on the regression associated with the first sensor and on the respective data values associated with the time, comparison of the predicted value with the received value associated with the time and generated by the first sensor, and determination of a value indicating a likelihood of an anomaly based on the comparison.
Public/Granted literature
- US20190317848A1 SENSOR DATA ANOMALY DETECTION Public/Granted day:2019-10-17
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