公开(公告)号：US20210012242A1

公开(公告)日：2021-01-14

申请号：US16921951

申请日：2020-07-07

Applicant: ABB Schweiz AG

Inventor： Subanatarajan Subbiah ,  Benjamin Kloepper

IPC: G06N20/00 ,  G05B23/02

Abstract: A method for training a machine-learning model to assess at least one condition of industrial equipment, and/or at least one condition of a process running in an industrial plant, based on measurement data gathered by a plurality of sensors, includes: obtaining a plurality of records of measurement data that correspond to a variety of operating situations and a variety of conditions; obtaining, for each record of measurement data, a label that represents a condition in the operating situation characterized by the record of measurement data; and determining a plausibility of at least one record of measurement data, and/or a plausibility of at least one label, based at least in part on a comparison with at least one other record of measurement data, with at least one other label, and/or with additional information about the industrial equipment, and/or about the industrial plant where the industrial equipment resides, and/or about the process.

公开(公告)号：US10824963B2

公开(公告)日：2020-11-03

申请号：US16178629

申请日：2018-11-02

Applicant: ABB Schweiz AG

Inventor： Martin Hollender ,  Benjamin Kloepper ,  Moncef Chioua

IPC: G08B21/00 ,  G06N20/00 ,  G05B23/02 ,  G05B19/418

Abstract: An alarm handling system in plant process automation with a data processing device includes: at least one interface for accessing and/or processing one or more process signals and for determining corresponding process variables; an alarm configuration device for accessing and/or providing alarm configuration information including at least one setpoint for one or more determined process variables; and a prediction device for determining and processing a current rate of change of at least one process variable to predict how long it will take and/or a period until and/or predict at which date and/or time a provided setpoint and/or threshold is reached and/or crossed, and/or for determining whether and/or when at least one of the monitored and/or determined process variable values will cross the respective setpoint.

公开(公告)号：US20250130563A1

公开(公告)日：2025-04-24

申请号：US19007799

申请日：2025-01-02

Applicant: ABB Schweiz AG

Inventor： Taisuke Minagawa ,  Diego Vilacoba ,  Ido Amihai ,  Martin Wolfgang Hoffmann ,  Benjamin Kloepper ,  Benedikt Schmidt

IPC: G05B23/02

Abstract: A method for detecting an anomaly includes obtaining a time-series of historical process variables within a predefined time span; determining a cycle time of the historical process variables; clustering the historical process variables into clusters based on cycle time; arranging the clusters into a tree; storing the tree; obtaining a time-series of a plurality of current process variables, which correspond to the historic process variables; and detecting the anomaly of at least one device by identifying a cycle time of a current process variable that is longer than the cycle time of a corresponding historic variable.

公开(公告)号：US20250086514A1

公开(公告)日：2025-03-13

申请号：US18929807

申请日：2024-10-29

Applicant: ABB Schweiz AG

Inventor： Benjamin Kloepper ,  Dawid Ziobro ,  Divyasheel Sharma ,  Benedikt Schmidt ,  Yemao Man ,  Gayathri Gopalakrishnan ,  Joakim Astrom ,  Marcel Dix ,  Arzam Muzaffar Kotriwala

IPC: G06N20/00

Abstract: A method for deciding on a machine learning model result quality based on the identification of distractive samples in the training data includes providing a first result of the model based on initial training data; determining a first performance of the first result of the model; logging input data; providing a second result of the model based on initial training data and the input data, determining a second performance of the second result of the model and thereon based identifying erroneous data within the input data and/or the training data.

公开(公告)号：US20240310797A1

公开(公告)日：2024-09-19

申请号：US18672276

申请日：2024-05-23

Applicant: ABB Schweiz AG

Inventor： Benjamin Kloepper ,  Benedikt Schmidt ,  Reuben Borrison

IPC: G05B13/02

CPC classification number: G05B13/027

Abstract: A method for determining an appropriate sequence of actions to take during operation of an industrial plant includes obtaining values of a plurality of state variables that characterize an operational state of the plant (or a part thereof); encoding by at least one trained state encoder network the plurality of state variables into a representation of the operating state of the plant; mapping by a trained state-to-action network the representation of the operating state to a representation of a sequence of actions to take in response to the operating state; and decoding by a trained action decoder network the representation of the sequence of actions to the sought sequence of actions to take.

公开(公告)号：US20240302831A1

公开(公告)日：2024-09-12

申请号：US18669696

申请日：2024-05-21

Applicant: ABB Schweiz AG

Inventor： Hadil Abukwaik ,  Divyasheel Sharma ,  Benjamin Kloepper ,  Arzam Muzaffar Kotriwala ,  Pablo Rodriguez ,  Benedikt Schmidt ,  Ruomu Tan ,  Chandrika K R ,  Reuben Borrison ,  Marcel Dix ,  Jens Doppelhamer

IPC: G05B23/02

CPC classification number: G05B23/024 ,  G05B23/0251

Abstract: A method for determining the state of health of an industrial process executed by at least one industrial plant comprising an arrangement of entities, and the state of each such entity, includes obtaining values of the entity state variables; providing the values to a model to obtain a prediction of the state of health; determining propagation paths for anomalies between said entities; determining importances of the states of health of the individual entities for the overall state of health of the process; and aggregating the individual states of health of the entities to obtain the overall state of health of the process.

公开(公告)号：US20240160160A1

公开(公告)日：2024-05-16

申请号：US18455340

申请日：2023-08-24

Applicant: ABB Schweiz AG

Inventor： Ruomu Tan ,  Marco Gaertler ,  Benjamin Kloepper ,  Sylvia Maczey ,  Andreas Potschka ,  Martin Hollender ,  Benedikt Schmidt

IPC: G05B13/02

CPC classification number: G05B13/027

Abstract: A method for detecting change points, CPs, in a signal of a process automation system, includes, in an offline learning phase, unsupervised, candidate CPs on at least one offline signal using unsupervised detection method are detected, CPs are selected from the candidate CPs; the selected CPs are provided to a supervised process; in the supervised process, an offline machine-learning (ML) system is trained to refine CPs from the selected CPs using a supervised machine learning method; a training data set for an online ML system is created using the offline ML system by projecting the refined CPs on the signal; the online ML system is trained in a supervised manner, using the created training data set; and after the offline learning phase, CPs are detected using the trained online ML system.

公开(公告)号：US11945116B2

公开(公告)日：2024-04-02

申请号：US17146499

申请日：2021-01-12

Applicant: ABB Schweiz AG

Inventor： Mithun Acharya ,  Boris Fiedler ,  Benjamin Kloepper ,  Karl Severin

IPC: B25J9/00 ,  B25J9/16 ,  B25J13/00 ,  B25J13/08 ,  H04L67/00 ,  H04L67/303

CPC classification number: B25J9/1658 ,  B25J9/003 ,  B25J9/0084 ,  B25J9/1661 ,  B25J9/1689 ,  B25J9/1697 ,  B25J13/006 ,  B25J13/08 ,  B25J13/085 ,  H04L67/303 ,  H04L67/34

Abstract: A method for problem diagnosis in a robot system having one or more robots includes the steps of: a) receiving (S1) a first problem message from a robot of the robot system, the first problem message including one or more data elements descriptive of a problem experienced by the robot; b) receiving (S1) a subsequent problem message from a robot of the robot system; c) if a time elapsed between receipt of the subsequent problem message and receipt of an immediately preceding problem message is shorter than a predetermined threshold (S2), adding the subsequent problem message to a message set which comprises the immediately preceding problem message (S3); and d) if the time elapsed is longer than the predetermined threshold (S2), terminating (S4) the message set of the immediately preceding problem message without adding the subsequent problem message, and establishing (S5, S6) a new message set.

公开(公告)号：US20240069518A1

公开(公告)日：2024-02-29

申请号：US18259799

申请日：2020-12-30

Applicant: ABB Schweiz AG

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

IPC: G05B19/406

CPC classification number: G05B19/406 ,  G05B2219/31449

Abstract: A method for monitoring a continuous industrial process is described. The industrial process includes a number of processing stations for processing material and a material flow between the number of processing stations. Each processing station dynamically provides data representing a state of the processing station. The method includes providing, for each processing station, a processing station layout of the processing station. The method further includes providing, for each processing station, an interface model of the processing station. The method further includes generating an information metamodel from the processing station layout and the interface model of the number of processing stations. The method further includes generating an adaptive simulation model of the industrial process by importing the data representing the state of the processing station provided by the number of processing stations into the adaptive simulation model via the information metamodel.

公开(公告)号：US20230393538A1

公开(公告)日：2023-12-07

申请号：US18452313

申请日：2023-08-18

Applicant: ABB Schweiz AG

Inventor： Dawid Ziobro ,  Jens Doppelhamer ,  Benedikt Schmidt ,  Simon Hallstadius Linge ,  Gayathri Gopalakrishnan ,  Pablo Rodriguez ,  Benjamin Kloepper ,  Reuben Borrison ,  Marcel Dix ,  Hadil Abukwaik ,  Arzam Muzaffar Kotriwala ,  Sylvia Maczey ,  Marco Gaertler ,  Divyasheel Sharma ,  Chandrika K R ,  Matthias Berning

IPC: G05B13/02 ,  G05B23/02

CPC classification number: G05B13/0265 ,  G05B23/0216 ,  G05B2223/02

Abstract: A method for providing a solution strategy for a current event in industrial process automation includes monitoring a process for events and recording manual user action data, upon occurrence of an event, acquiring the recorded data regarding manual user actions before, during, and after the occurrence of the event, learning a procedure for handling the event based on the acquired data, and applying the learnt procedure to a currently occurring event.