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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
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.
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公开(公告)号：US20190187672A1
公开(公告)日：2019-06-20
申请号：US16281117
申请日：2019-02-21
Applicant: ABB Schweiz AG
Inventor： Martin Hollender , Matus Harvan
IPC: G05B23/02
CPC classification number: G05B23/027 , G05B23/0267 , G05B2223/06 , G06Q10/00
Abstract: A computer system is configured to process alarm activations received from technical systems, where an alarm activation represents a deviation of the technical status of a technical system from normal. The system includes: a data storage interface for receiving alarm activations in data storage, where the recorded alarm activations correspond to alarms; a data processor for: determining, from the recorded alarm activations, time intervals for alarm analysis; and computing similarity measures between the time intervals that depend on the occurrence of the recorded alarm activations in the time intervals, and where the contribution of an alarm activation to the similarity of two time intervals is reduced with an increasing occurrence of the alarm in the time intervals; and a user interface configured to provide pairs of time intervals to an operator of the one or more technical systems that include time intervals with similarity measures indicating similar alarm.
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公开(公告)号：US20190073609A1
公开(公告)日：2019-03-07
申请号：US16178629
申请日：2018-11-02
Applicant: ABB Schweiz AG
Inventor： Martin Hollender , Benjamin Kloepper
IPC: G06N99/00 , G05B19/418
CPC classification number: G06N20/00 , G05B19/41885 , G05B23/0232 , G05B2219/34457
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.
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公开(公告)号：US20160371327A1
公开(公告)日：2016-12-22
申请号：US15256655
申请日：2016-09-05
Applicant: ABB Schweiz AG
Inventor： Mario Hoernicke , Martin Hollender , Steve Royston
Abstract: A method for sorting alarm-messages of a plant having at least one alarm-area each having at least two plant-devices connected by at least one connection, wherein the at least one alarm-area is defined so that the plant-devices and the respective connection provide a directed graph, involves: providing at least one database containing alarm-data and topology-data; wherein the topology-data describe a directed graph having at least one connection with a related flow direction between the respective plant-devices of the respective assigned alarm-area; generating at least one partly complete first alarm-order of the alarm-messages of the at least one alarm-area by sorting the alarm-messages according to the flow direction of the directed graph.
Abstract translation: 一种用于排列具有至少一个报警区域的工厂的报警消息的方法，每个报警区域具有通过至少一个连接连接的至少两个工厂装置，其中所述至少一个报警区域被定义为使得所述工厂装置和 相应的连接提供有向图，涉及：提供至少一个包含报警数据和拓扑数据的数据库; 其中所述拓扑数据描述有向图，所述有向图具有与相应的分配的报警区域的相应工厂装置之间的相关流动方向的至少一个连接; 通过根据有向图的流动方向对报警消息进行排序来产生至少一个报警区域的报警消息的至少一个部分完整的第一报警顺序。
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公开(公告)号：US12019432B2
公开(公告)日：2024-06-25
申请号：US17207854
申请日：2021-03-22
Applicant: ABB Schweiz AG
Inventor： Moncef Chioua , Matthieu Lucke , Emanuel Kolb , Martin Hollender , Nuo Li , Andrew Cohen
CPC classification number: G05B23/0213 , G06F17/15 , G06F17/18 , G06F18/22 , G06F2218/12
Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.
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Patent Agency Ranking
公开(公告)号：US20230367297A1
公开(公告)日：2023-11-16
申请号：US18361271
申请日：2023-07-28
Applicant: ABB Schweiz AG
Inventor： Martin Hollender , Benedikt Schmidt , Ruomu Tan , Chaojun Xu , Lara-Marie Volkmann
IPC: G05B19/418
CPC classification number: G05B19/4184
Abstract: A method for analysing process data related to a segment of a production process includes providing a process data sequence of the segment of the production process exhibiting a data pattern of at least one process variable to be analyzed; providing a set of metadata; determining process data sequences, which are stored in a first database; determining a start timestamp and end timestamp of each of the determined process data sequence, based on the first database; and calculating a similarity value for each of the determined process data sequences compared to the provided process data sequence, based on the data pattern of the at least one process variable, wherein the determined process data sequences for the calculation are provided, based on the related start timestamps and end timestamps, by accessing a second database comprising the process data sequences, for analysing the process data.
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公开(公告)号：US20230094914A1
公开(公告)日：2023-03-30
申请号：US17956097
申请日：2022-09-29
Applicant: ABB Schweiz AG
Inventor： Benedikt Schmidt , Ido Amihai , Arzam Muzaffar Kotriwala , Moncef Chioua , Felix Lenders , Dennis Janka , Martin Hollender , Jan Christoph Schlake , Hadil Abukwaik , Benjamin Kloepper
IPC: G06N20/00
Abstract: A computer-implemented method of generating a training data set for training an artificial intelligence module includes providing first and second data sets, the first data set including first data elements indicative of a first operational condition, the second data set including second data elements indicative of a second operational condition that matches the first operational condition. The method further comprises determining a data transformation for transforming the first data elements into the second data elements; applying the data transformation to the first data elements and/or to further data elements of further data sets, thereby generating a transformed data set; and generating a training data set for training the AI module based on at least a part of the transformed data set.
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公开(公告)号：US20230050321A1
公开(公告)日：2023-02-16
申请号：US17977355
申请日：2022-10-31
Applicant: ABB Schweiz AG
Inventor： Benedikt Schmidt , Marcel Dix , Martin Hollender , Andrew Cohen , Arzam Muzaffar Kotriwala , Marco Gaertler , Sylvia Maczey , Benjamin Kloepper
IPC: G05B19/042
Abstract: A method for generating a process model modeling a manual mode procedure instance of a plant process includes providing log events of operational actions; selecting related sequences of manual mode operational actions from the log events; filtering the related sequences according to an individual plant section; identifying a sequential order from the filtered related sequences; determining statistical properties of values of related process variables and/or statistical properties of values of related set point changes to each sequential ordered manual mode operational action from the filtered related sequences; generating the process model of the manual mode procedure instance by arranging related manual mode operational actions with the sequential order of each operational action assigned with the statistical properties of the values of related process variables and/or assigned with the statistical properties of the values of the related set point changes.
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19.发明授权公开(公告)号：US10969774B2
公开(公告)日：2021-04-06
申请号：US16576832
申请日：2019-09-20
Applicant: ABB Schweiz AG
Inventor： Martin Hollender , Benjamin Kloepper , Michael Lundh , Moncef Chioua
Abstract: An anomaly detection module is configured to apply a plurality of machine learning models to received technical status data to detect one or more indicators of an abnormal technical status prevailing in the industrial process system. The plurality of machine learning models are trained on historic raw or pre-processed sensor data and the anomaly detection module configured to generate the anomaly alert based on the one or more indicators. The received technical status data is assigned to signal groups and the generated anomaly alert is a vector with each vector element representing a group anomaly indicator for the respective signal group. Each vector element is determined by applying a respective group specific machine learning model.
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公开(公告)号：US10928815B2
公开(公告)日：2021-02-23
申请号：US16281117
申请日：2019-02-21
Applicant: ABB Schweiz AG
Inventor： Martin Hollender , Matus Harvan
IPC: G05B23/02 , G06Q10/00 , G05B19/042
Abstract: A computer system is configured to process alarm activations received from technical systems, where an alarm activation represents a deviation of the technical status of a technical system from normal. The system includes: a data storage interface for receiving alarm activations in data storage, where the recorded alarm activations correspond to alarms; a data processor for: determining, from the recorded alarm activations, time intervals for alarm analysis; and computing similarity measures between the time intervals that depend on the occurrence of the recorded alarm activations in the time intervals, and where the contribution of an alarm activation to the similarity of two time intervals is reduced with an increasing occurrence of the alarm in the time intervals; and a user interface configured to provide pairs of time intervals to an operator of the one or more technical systems that include time intervals with similarity measures indicating similar alarm.
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