公开(公告)号：US20220147871A1

公开(公告)日：2022-05-12

申请号：US17436909

申请日：2020-03-04

申请人： Ahmed Frikha ,  Denis Krompaß ,  Hans-Georg Köpken

发明人： Ahmed Frikha ,  Denis Krompaß ,  Hans-Georg Köpken

IPC分类号： G06N20/00 ,  G05B19/418

摘要： A method for quality control in industrial manufacturing for one or more production processes for producing at least one workpiece and/or product includes creating a learning model for at least one production process for the at least one workpiece and/or product. The learning model is trained and initialized using a meta-learning algorithm, and the learning model is calibrated using normalized data of the at least one production process for the at least one workpiece and/or product. Currently generated data of the at least one production process for at least one currently produced workpiece/product is forwarded to the learning model. The data is generated by sensors. The learning model compares the currently generated data with the normalized data and finds deviations. The learning model scales the deviations between the currently generated data and the normalized data, and the learning model communicates presence of an anomaly for the currently produced workpiece/product.

公开(公告)号：US20200169085A1

公开(公告)日：2020-05-28

申请号：US16627269

申请日：2018-06-07

申请人： Silvio Becher ,  Denis Krompaß

发明人： Silvio Becher ,  Denis Krompaß

IPC分类号： H02J3/00 ,  G06N3/04 ,  G06Q50/06 ,  H02J13/00

摘要： A monitoring system adapted to recognize a contingency in a power supply network, PSN, (2), the monitoring system (1) comprising in-field measurement devices (3) adapted to generate measurement data (MD) of said power supply network (2) and a processing unit (4) adapted to process the measurement data (MD) generated by the in-field measurement devices (3) of said power supply network (2) by using a local network state estimation model (LNSM) to calculate local network state profiles (LNSPs) used to generate a global network state profile (GNSP), wherein said processing unit (4) is further adapted to process the measurement data (MD) generated by the in-field measurement devices (3) of said power supply network (2) to provide a relevance profile (RP) comprising for the in-field measurement devices (3) a relevance distribution indicating a probability where the origin of a contingency within the power supply network, PSN, (2) resides, wherein the processing unit (4) is further adapted to compute a similarity between a candidate contingency profile (CCP) formed by the generated global network state profile (GNSP) and by the calculated relevance profile (RP) and reference contingency profiles, rCP, stored in a reference contingency database (5) of said monitoring system (1) to identify the reference contingency profile, rCP, having the highest computed similarity as the recognized contingency within the power supply network, PSN, (2).