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公开(公告)号：US20190165989A1
公开(公告)日：2019-05-30
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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公开(公告)号：US20210295215A1
公开(公告)日：2021-09-23
申请号：US16822293
申请日：2020-03-18
Applicant: ABB Schweiz AG
Inventor： Mithun P. Acharya , Jeffrey Harding , Karl Eric Harper , Aldo Dagnino
Abstract: Technologies for decentralized fleet analytics are disclosed. In at least one embodiment, a local cloud service at a plant site builds a first machine learning model of one or more first streams of data associated with the plant site. The local cloud service sends the first machine learning model to a cloud service connected to the plant site and other plant sites. The local cloud service receives a second machine learning model from the cloud service. The second machine learning model is trained as a function of the first machine learning model and one or more machine learning models built by the other plant sites. The local cloud service updates the first machine learning model based on the second machine learning model.
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公开(公告)号：US10901406B2
公开(公告)日：2021-01-26
申请号：US16326007
申请日：2016-08-17
Applicant: ABB Schweiz AG
Inventor： Aldo Dagnino , Veronika Domova
IPC: G05B23/02
Abstract: A method of monitoring and controlling an industrial process is provided. The method may be performed in process control system and includes: issuing, in the process control system, a first alarm; determining, in the process control system, at least a first sequence of alarms which the first alarm is part of; and displaying, on a display means, at least a second alarm expected to follow the first alarm at a future point in time, the second alarm being part of the at least first sequence of alarms. A process control system is also provided, and a computer program and a computer program product.
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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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