公开(公告)号：US20250130563A1

公开(公告)日：2025-04-24

申请号：US19007799

申请日：2025-01-02

Applicant: ABB Schweiz AG

Inventor： Taisuke Minagawa ,  Diego Vilacoba ,  Ido Amihai ,  Martin Wolfgang Hoffmann ,  Benjamin Kloepper ,  Benedikt Schmidt

IPC: G05B23/02

Abstract: A method for detecting an anomaly includes obtaining a time-series of historical process variables within a predefined time span; determining a cycle time of the historical process variables; clustering the historical process variables into clusters based on cycle time; arranging the clusters into a tree; storing the tree; obtaining a time-series of a plurality of current process variables, which correspond to the historic process variables; and detecting the anomaly of at least one device by identifying a cycle time of a current process variable that is longer than the cycle time of a corresponding historic variable.

公开(公告)号：US20230274189A1

公开(公告)日：2023-08-31

申请号：US18171732

申请日：2023-02-21

Applicant: ABB Schweiz AG

Inventor： Arzam Muzaffar Kotriwala ,  Benjamin Kloepper ,  Ido Amihai ,  Taisuke Minagawa ,  Dominik Olschewski ,  Kai Merz

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A system and method for outlier detection based on process fingerprints from robot cycle data includes a data collection component, which is configured to collect cyclic data, wherein the cyclic data comprises multiple vectors each of which comprises data from one individual cycle of the robot cycle data; a data storage component, wherein which is configured to store the collected cyclic data; and a data processing component, which is configured to perform cloud processing of the stored cyclic data triggered by a cycle-start signal, wherein the data processing component is configured to parse the stored cyclic data and to process the stored cyclic data based on a configuration file defining metadata of the stored cyclic data, wherein the data processing component is configured extract process fingerprints from the stored cyclic data using the metadata.