CPC G06F 11/3452 (2013.01) [G06F 11/3419 (2013.01); G06N 20/00 (2019.01)] | 15 Claims |
1. A computer implemented method (CIM) comprising:
receiving current input data including a stream of first feature values corresponding to a first measured parameter that is used to characterize some aspect of an ongoing production process used to produce a product;
creating a first baseline model for the first feature, with the baseline model indicating data patterns indicated a normal range and a set of anomaly-indicative data patterns that indicates potential existence of an anomaly occurring in the ongoing production process;
applying the first baseline model to first feature values being received in the first stream of data values to tentatively determine an anomaly in the ongoing production process;
responsive to the tentative determination of the anomaly, locating a set of historical time period(s) when the stream of first feature values followed a similar pattern to the current input data; and
making a final determination that an anomaly is not occurring based, at least in part, on historical first feature data values from the set of historical time period(s).
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