WO2023088592 - SYSTEM AND METHOD OF MONITORING A CYCLICALLY OPERATING MANUFACTURING DEVICE
National phase entry:
Publication Number
WO/2023/088592
Publication Date
25.05.2023
International Application No.
PCT/EP2022/075805
International Filing Date
16.09.2022
Title **
[English]
SYSTEM AND METHOD OF MONITORING A CYCLICALLY OPERATING MANUFACTURING DEVICE
[French]
SYSTÈME ET PROCÉDÉ DE SURVEILLANCE D'UN DISPOSITIF DE FABRICATION À FONCTIONNEMENT CYCLIQUE
Applicants **
SIEMENS AKTIENGESELLSCHAFT
Inventors
ADLING, Anja
BEHLER, Juri
LUBER, Karl
PAULITSCH, Christoph
REIMANN, Thorsten
Priority Data
21208384.4
16.11.2021
EP
Application details
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter II
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| Patent Delivery |
Send the Letters Patent by Courier
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2055 | |
| EPO | Filing, Examination, Granting | 8617 | |
| Japan | Filing, Examination, Granting | 2185 | |
| South Korea | Filing, Examination, Granting | 2130 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
19,727
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
A computer-implemented method of monitoring a cyclically operating manufacturing device (3a), comprising the steps of: Measuring actual values of a physical property relating to the operation of the manufacturing device (3a) during multiple cycles of the operation of the manufacturing device (3a), determining reference values for the physical property for each of the multiple cycles (C1, C2, C3) based on a trained machine learning model (ML), preferably an artificial neural network, and more preferably a multilayer perceptron, comparing a distribution of the actual values with a distribution of the reference values based on a distance function, preferably a Wasserstein distance, and initiating an alert in case the distance function exceeds a predetermined threshold.[French]
Un procédé mis en œuvre par ordinateur de surveillance d'un dispositif de fabrication à fonctionnement cyclique (3a), comprenant les étapes consistant à : mesurer des valeurs réelles d'une propriété physique se rapportant au fonctionnement du dispositif de fabrication (3a) pendant de multiples cycles du fonctionnement du dispositif de fabrication (3a), déterminer des valeurs de référence pour la propriété physique pour chacun des multiples cycles (C1, C2, C3) sur la base d'un modèle d'apprentissage machine (ML), de préférence un réseau neuronal artificiel, de préférence un perceptron multicouche, comparer une distribution des valeurs réelles avec une distribution des valeurs de référence sur la base d'une fonction de distance, de préférence une distance de Wasserstein, et lancer une alerte dans le cas où la fonction de distance dépasse un seuil prédéterminé.