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公开(公告)号:US20230273069A1
公开(公告)日:2023-08-31
申请号:US18175656
申请日:2023-02-28
Applicant: ABB Schweiz AG
Inventor: Ralf Gitzel , Marcel Dix , Holger Kaul , Tomas Kozel
CPC classification number: G01J5/0096 , G01J5/0066 , G01J5/48 , G06T7/136 , G06T7/0002 , G06T7/174 , G01J2005/0077 , G06T2207/20084 , G06T2207/10048 , G06T2207/20081
Abstract: A system and method for monitoring a switchgear includes an infrared camera, a processing unit, and an output unit. The infrared camera acquires an infrared image of the switchgear, and the processing unit converts it into a binary image. Pixels in the infrared image having a temperature equal to or above a first threshold value are given the same first value. Pixels in the infrared image having a temperature below the first threshold value are given the same second value. The processing unit is configured to implement a Siamese neural network to determine if a hot spot exists in the infrared image.
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公开(公告)号:US20230080873A1
公开(公告)日:2023-03-16
申请号:US17993443
申请日:2022-11-23
Applicant: ABB Schweiz AG
Inventor: Dennis Janka , Benjamin Kloepper , Moncef Chioua , Pablo Rodriguez , Ioannis Lymperopoulos , Marcel Dix
IPC: G06F30/27
Abstract: A model generation system includes input and output units. The input unit receives a plurality of input value trajectories comprising operational input value trajectories and simulation input value trajectories relating to an industrial process. The processing unit implements a simulator of the industrial process and generates behavioral data for at least some of the plurality of input value trajectories. The processing unit further implements a machine learning algorithm that models the industrial process, and trains the machine learning algorithm.
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公开(公告)号:US20210260754A1
公开(公告)日:2021-08-26
申请号:US17317920
申请日:2021-05-12
Applicant: ABB Schweiz AG
Inventor: Pablo Rodriguez , Benjamin Kloepper , Arzam Muzaffar Kotriwala , Marcel Dix , Debora Clever , Fan Dai
Abstract: A method for applying machine learning to an application includes: a) generating a set of candidate parameters by a learner; b) executing a program in at least one simulated application based on the set of candidate parameters and providing interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program; c) collecting a predetermined number of interim results and providing an end result based on a combination of the candidate parameters and the measured performance information by a trainer; and d) generating a new set of candidate parameters by the learner based on the end result for execution by the unchanged program.
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公开(公告)号:US10523495B2
公开(公告)日:2019-12-31
申请号:US15822784
申请日:2017-11-27
Applicant: ABB Schweiz AG
Inventor: Sam Ade Jacobs , Mithun P. Acharya , Veronika Domova , Marcel Dix , Aldo Dagnino , Jinendra K. Gugaliya , Kaushik Ghosh
Abstract: Unique systems, methods, techniques and apparatuses of an alarm management system are disclosed herein. One exemplary embodiment is a method for monitoring an industrial plant comprising determining a sequence of alarm events for each of a plurality of time intervals including a first alarm event of a plurality of alarm events and a second alarm event of the plurality of alarm events; determining a count of the first alarm events and second alarm events; determining the alarm events exceed a support threshold value; determining a third count of a sub-sequence of the sequences of alarm events including the first alarm event followed by the second alarm event in response to determining the first count and the second count exceeds the support threshold value; determining a ratio using the first count, the second count, and the third count exceeds a display threshold value; and displaying the sub-sequence.
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5.
公开(公告)号:US20250053879A1
公开(公告)日:2025-02-13
申请号:US18928369
申请日:2024-10-28
Applicant: ABB Schweiz AG
Inventor: Dawid Ziobro , Benjamin Kloepper , Marcel Dix , Benedikt Schmidt , Arzam Muzaffar Kotriwala , Yemao Man , Divyasheel Sharma , Gayathri Gopalakrishnan , Joakim Astrom
IPC: G06N20/00
Abstract: A method for enabling user feedback and summarizing return of investment for machine learning systems includes providing a training data set and an initial machine learning model; providing a result of the initial machine learning model; receiving feedback on the result of the initial machine learning model from a user enriching the training dataset based on the feedback to an enriched data set; and retraining the initial machine learning model to a retrained machine learning model based on an enriched data set.
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6.
公开(公告)号:US20240005232A1
公开(公告)日:2024-01-04
申请号:US18448535
申请日:2023-08-11
Applicant: ABB Schweiz AG
Inventor: Benedikt Schmidt , Jens Doppelhamer , Pablo Rodriguez , Benjamin Kloepper , Reuben Borrison , Marcel Dix , Hadil Abukwaik , Arzam Muzaffar Kotriwala , Sylvia Maczey , Dawid Ziobro , Simon Hallstadius Linge , Marco Gaertler , Divyasheel Sharma , Chandrika K R , Gayathri Gopalakrishnan , Matthias Berning
IPC: G06Q10/0631
CPC classification number: G06Q10/063112 , G06Q10/06312
Abstract: A method for generating and/or augmenting an execution protocol for an SOP in an industrial plant includes providing at least one SOP of the plant, which includes a plurality of steps; providing measurement data; for each step of the SOP, determining from the measurement data a subset of the measurement data that is indicative of actions performed for the purpose of executing this particular step of the SOP; and aggregating the subset of the measurement data determined for each step of the SOP into at least one instruction for executing this particular step of the SOP, wherein this instruction is part of the sought protocol.
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公开(公告)号:US11774941B2
公开(公告)日:2023-10-03
申请号:US17725490
申请日:2022-04-20
Applicant: ABB Schweiz AG
Inventor: Hadil Abukwaik , Jens Doppelhamer , Marcel Dix , Benjamin Kloepper , Pablo Rodriguez
IPC: G05B19/4065
CPC classification number: G05B19/4065 , G05B2219/31057
Abstract: A system and method provides an impact list of affecting equipment elements that affect an industrial sub-process. The method comprises the steps of selecting, in a topology model, the sub-process, wherein the sub-process is an equipment element that is a part of an industrial plant or process, and wherein the topology model is a graph, whose nodes represent equipment elements and whose edges represent interconnections between the equipment elements; traversing the nodes of the topology model, wherein the traversing starts from the selected sub-process and uses a traversing strategy; and for each of the at least one equipment elements, if the equipment element affects the industrial sub-process by an affecting degree greater than a first predefined affecting degree, adding the equipment element to the impact list of affecting equipment elements.
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公开(公告)号:US11669081B2
公开(公告)日:2023-06-06
申请号:US16996928
申请日:2020-08-19
Applicant: ABB Schweiz AG
Inventor: Marcel Dix , Boris Fiedler , Benjamin Kloepper
IPC: G05B23/02
CPC classification number: G05B23/0235 , G05B23/027 , G05B23/0229
Abstract: A data processing device capable of performing problem diagnosis in a production system with a plurality of robots includes: a first time series obtaining part for obtaining historical event data used for determining some historical alarm indicator in time series and storing the historical event data as first time series data; a historic alarm indicator calculation part for calculating a series of historic alarm indicators using statistic characteristics of the first time series data; a threshold definition part for defining at least one threshold value based on a statistical distribution of the historical alarm indicators; a second time series obtaining part for obtaining operational event data during operation of the robots used for determining some operational alarm indicator in time series and storing the operational event data as second time series data; and an operational alarm indicator calculation part for calculating a series of operational alarm indicators.
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公开(公告)号:US20230074570A1
公开(公告)日:2023-03-09
申请号:US17899856
申请日:2022-08-31
Applicant: ABB Schweiz AG
Inventor: Andrea Macauda , Raja Sivalingam , Chandrika K R , Matthias Berning , Dawid Ziobro , Sylvia Maczey , Pablo Rodriquez , Benjamin Kloepper , Reuben Borrison , Marcel Dix , Benedikt Schmidt , Hadil Abukwaik , Arzam Muzaffar Kotriwala , Divyasheel Sharma , Gayathri Gopalakrishnan , Simon Linge , Marco Gaertler , Jens Doppelhamer
IPC: G05B23/02
Abstract: An industrial plant operator intervention system for use in an industrial plant includes a processing unit configured to monitor and analyze industrial plant operation data to detect an anomaly in the industrial plant operation data that warrants initiating an operator intervention, and in response to detecting the anomaly, automatically determine a user interface configuration of a user interface to be presented to a designated operator who is to perform the operator intervention. The user interface configuration is determined on the basis of technical context data, including industrial plant operation data associated with the anomaly, and on the basis of operator data pertaining to the designated operator, in such a manner that an anomaly-related and operator-specific user interface configuration is obtained.
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公开(公告)号:US20210034047A1
公开(公告)日:2021-02-04
申请号:US16996928
申请日:2020-08-19
Applicant: ABB Schweiz AG
Inventor: Marcel Dix , Boris Fiedler , Benjamin Kloepper
Abstract: A data processing device capable of performing problem diagnosis in a production system with a plurality of robots includes: a first time series obtaining part for obtaining historical event data used for determining some historical alarm indicator in time series and storing the historical event data as first time series data; a historic alarm indicator calculation part for calculating a series of historic alarm indicators using statistic characteristics of the first time series data; a threshold definition part for defining at least one threshold value based on a statistical distribution of the historical alarm indicators; a second time series obtaining part for obtaining operational event data during operation of the robots used for determining some operational alarm indicator in time series and storing the operational event data as second time series data; and an operational alarm indicator calculation part for calculating a series of operational alarm indicators.
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