公开(公告)号：US20210209189A1

公开(公告)日：2021-07-08

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

IPC: G06F17/15 ,  G06K9/62 ,  G06K9/00 ,  G06F17/18

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.

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

IPC: G05B23/02 ,  G06F17/15 ,  G06F17/18 ,  G06F18/22

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.