公开(公告)号：US20230016668A1

公开(公告)日：2023-01-19

申请号：US17954485

申请日：2022-09-28

Applicant: ABB Schweiz AG

Inventor： Benedikt Schmidt ,  Ido Amihai ,  Moncef Chioua ,  Arzam Kotriwala ,  Martin Hollender ,  Dennis Janka ,  Felix Lenders ,  Jan Christoph Schlake ,  Benjamin Kloepper ,  Hadil Abukwaik

IPC: G05B13/02 ,  G06N3/08

Abstract: A method includes training a first control model by utilizing a first set of input data as first input, resulting in a trained first control model; copying the trained first control model to a second control model, wherein, after copying, the second input layer and the plurality of second hidden layers is identical to the plurality of first hidden layers, and the first output layer is replaced by the second output layer; freezing the plurality of second hidden layers; training the second control model by utilizing the first set of input data as second input, resulting in a trained second control model; and running the trained second control model by utilizing a second set of input data as second input, wherein the second output outputs the quality measure of the first control model.

公开(公告)号：US20240168467A1

公开(公告)日：2024-05-23

申请号：US18549428

申请日：2021-03-12

Applicant: ABB Schweiz AG

Inventor： Arzam Kotriwala ,  Nuo Li ,  Jan-Christoph Schlake ,  Prerna Juhlin ,  Felix Lenders ,  Matthias Biskoping ,  Benjamin Kloepper ,  Kalpesh Bhalodi ,  Andreas Potschka ,  Dennis Janka

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B2219/32368

Abstract: A computer-implemented method is provided. The method includes receiving geological data of a material and processing data referring to a plurality of processing stations of an industrial process for manufacturing a product from the material; receiving, for the geological data and the processing data, corresponding product quality data of the manufactured product; and training or retraining a prediction model for the industrial process to determine predicted product quality data for the geological data and the processing data

公开(公告)号：US20230214724A1

公开(公告)日：2023-07-06

申请号：US18184279

申请日：2023-03-15

Applicant: ABB Schweiz AG

Inventor： Arzam Kotriwala ,  Andreas Potschka ,  Benjamin Kloepper ,  Marcel Dix

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A method and system for removing undesirable inferences from a machine learning model include a search component configured to receive a rejected explanation of model output provided by the machine learning model, identify data samples to unlearn by selecting training samples from training data that were used to train the machine learning model, the selected training samples being associated with explanations that are similar to the rejected explanation according to a calculated similarity measure, and pass the data samples to unlearn to a machine unlearning unit.

公开(公告)号：US11069356B2

公开(公告)日：2021-07-20

申请号：US16988732

申请日：2020-08-10

Applicant: ABB Schweiz AG

Inventor： Andrew Cohen ,  Benedikt Schmidt ,  Benjamin Kloepper ,  Marco Gaertler ,  Arzam Kotriwala ,  Marcel Dix ,  Sylvia Maczey

IPC: G10L15/22 ,  G10L15/30 ,  G05B19/042

Abstract: A computer system for controlling a dialogue between a user and the computer system, the computer system being communicatively coupled with an industrial control system controlling an industrial system, the computer system including: an interface for receiving intent inputs representing a respective desired interaction with the computer system; an intent determination module for determining the desired interactions of received intent inputs; a data storage for storing one or more directed graphs, each graph specifying an industrial control domain specific dialogue, a particular graph defining a dialogue state machine with a plurality of nodes representing states of the dialogue, and with edges representing transitions between the states, each state transition from a first state to a second state depending on at least one precondition, the desired interaction of a received intent input corresponding to a target node to be reached from a current node of the particular graph.

公开(公告)号：US20210166684A1

公开(公告)日：2021-06-03

申请号：US16988732

申请日：2020-08-10

Applicant: ABB Schweiz AG

Inventor： Andrew Cohen ,  Benedikt Schmidt ,  Benjamin Kloepper ,  Marco Gaertler ,  Arzam Kotriwala ,  Marcel Dix ,  Sylvia Maczey

IPC: G10L15/22 ,  G10L15/30 ,  G05B19/042

Abstract: A computer system for controlling a dialogue between a user and the computer system, the computer system being communicatively coupled with an industrial control system controlling an industrial system, the computer system including: an interface for receiving intent inputs representing a respective desired interaction with the computer system; an intent determination module for determining the desired interactions of received intent inputs; a data storage for storing one or more directed graphs, each graph specifying an industrial control domain specific dialogue, a particular graph defining a dialogue state machine with a plurality of nodes representing states of the dialogue, and with edges representing transitions between the states, each state transition from a first state to a second state depending on at least one precondition, the desired interaction of a received intent input corresponding to a target node to be reached from a current node of the particular graph.