An Industrial Process Model Generation System

    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

    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.

    METHOD AND A SYSTEM FOR APPLYING MACHINE LEARNING TO AN APPLICATION

    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

    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.

    Industrial plant alarm management

    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

    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.

    Method for providing a list of equipment elements in industrial plants

    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

    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.

    Data processing device capable of performing problem diagnosis in a production system with plurality of robots and method

    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

    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.

    DATA PROCESSING DEVICE CAPABLE OF PERFORMING PROBLEM DIAGNOSIS IN A PRODUCTION SYSTEM WITH PLURALITY OF ROBOTS AND METHOD

    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

    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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