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公开(公告)号：US20190317848A1
公开(公告)日：2019-10-17
申请号：US16455186
申请日：2019-06-27
Applicant: SAP SE
Inventor： Robert Meusel , Jaakob Kind , Atreju Florian Tauschinsky , Janick Frasch , Minji Lee , Michael Otto
IPC: G06F11/07 , G06F16/2458 , G06N7/00 , G05B23/02
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.
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公开(公告)号：US10379933B2
公开(公告)日：2019-08-13
申请号：US15463601
申请日：2017-03-20
Applicant: SAP SE
Inventor： Robert Meusel , Jaakob Kind , Atreju Florian Tauschinsky , Janick Frasch , Minji Lee , Michael Otto
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.
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公开(公告)号：US20180239662A1
公开(公告)日：2018-08-23
申请号：US15463601
申请日：2017-03-20
Applicant: SAP SE
Inventor： Robert Meusel , Jaakob Kind , Atreju Florian Tauschinsky , Janick Frasch , Minji Lee , Michael Otto
CPC classification number: G06F11/079 , G05B23/024 , G06F11/0721 , G06F16/2477 , G06N7/005
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.
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公开(公告)号：US10915391B2
公开(公告)日：2021-02-09
申请号：US16455186
申请日：2019-06-27
Applicant: SAP SE
Inventor： Robert Meusel , Jaakob Kind , Atreju Florian Tauschinsky , Janick Frasch , Minji Lee , Michael Otto
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.
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