US 11,748,231 B2
Machine logic for performing anomaly detection
Wei Liu, Beijing (CN); Guo Ran Sun, Beijing (CN); Xiao Jing Wang, Beijing (CN); and Dong Ying Jiao, Beijing (CN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jun. 15, 2021, as Appl. No. 17/347,975.
Prior Publication US 2022/0398182 A1, Dec. 15, 2022
Int. Cl. G06F 11/34 (2006.01); G06N 20/00 (2019.01)
CPC G06F 11/3452 (2013.01) [G06F 11/3419 (2013.01); G06N 20/00 (2019.01)] 15 Claims
OG exemplary drawing
 
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).