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1. WO2020141372 - METHOD AND SYSTEM FOR DETECTING ANOMALIES IN A ROBOTIC SYSTEM

Publication Number WO/2020/141372
Publication Date 09.07.2020
International Application No. PCT/IB2019/060464
International Filing Date 05.12.2019
IPC
B25J 9/16 2006.1
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
9Programme-controlled manipulators
16Programme controls
CPC
B25J 9/1674
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
9Programme-controlled manipulators
16Programme controls
1674characterised by safety, monitoring, diagnostic
G05B 2219/33273
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
2219Program-control systems
30Nc systems
33Director till display
33273DCS distributed, decentralised controlsystem, multiprocessor
G05B 23/024
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
0205by means of a monitoring system capable of detecting and responding to faults
0218characterised by the fault detection method dealing with either existing or incipient faults
0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
G05B 23/0243
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
0205by means of a monitoring system capable of detecting and responding to faults
0218characterised by the fault detection method dealing with either existing or incipient faults
0243model based detection method, e.g. first-principles knowledge model
G05B 23/0297
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
0205by means of a monitoring system capable of detecting and responding to faults
0259characterized by the response to fault detection
0297Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results
Applicants
  • ABB SCHWEIZ AG [CH]/[CH]
Inventors
  • SUKHWANI, Mohak
  • SHARMA, Divyasheel
  • M V, Sudarshan
  • SHANKAR, Prabhat
  • GK, Aravindhan
Priority Data
20184105007731.12.2018IN
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) METHOD AND SYSTEM FOR DETECTING ANOMALIES IN A ROBOTIC SYSTEM
(FR) PROCÉDÉ ET SYSTÈME PERMETTANT DE DÉTECTER DES ANOMALIES DANS UN SYSTÈME ROBOTISÉ
Abstract
(EN)
The present invention relates to a method and a system for detecting anomalies in a robotic system in an industrial plant. The robotic system is associated with a computing system configured to detect an anomaly in the robotic system. The computer system monitors configuration parameters of the robotic system and process parameters associated with the robotic system. Further, the computing system detects an association between at least one configuration parameter and at least one process parameter for obtaining optimal configuration parameters and optimal process parameters. The optimal configuration parameters and optimal process parameters are analyzed for detecting an anomaly. At least one parameter among the configuration parameters and the process parameters is identified causing the anomaly. Thereafter, the detected anomaly is validated, valid setpoint is estimated and the estimated valid setpoint is updated in the analytics model. The updated analytics model is subsequently used to detect anomaly accurately.
(FR)
La présente invention concerne un procédé et un système permettant de détecter des anomalies dans un système robotisé dans un établissement industriel. Le système robotisé est associé à un système informatique conçu pour détecter une anomalie dans le système robotisé. Le système informatique surveille des paramètres de configuration du système robotisé et des paramètres de processus associés au système robotisé. En outre, le système informatique détecte une association entre au moins un paramètre de configuration et au moins un paramètre de processus pour obtenir des paramètres de configuration optimaux et des paramètres de processus optimaux. Les paramètres de configuration optimaux et les paramètres de processus optimaux sont analysés pour détecter une anomalie. Au moins un paramètre parmi les paramètres de configuration et les paramètres de processus est identifié comme provoquant l'anomalie. Ensuite, l'anomalie détectée est validée, une valeur de consigne valide est estimée et la valeur de consigne valide estimée est mise à jour dans le modèle analytique. Le modèle analytique mis à jour est ensuite utilisé pour détecter une anomalie de manière précise.
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EP2019838944This application is not viewable in PATENTSCOPE because the national phase entry has not been published yet or the national entry is issued from a country that does not share data with WIPO or there is a formatting issue or an unavailability of the application.
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