EP 3883715 A1 20210929 - MONITORING A LASER MACHINING PROCESS USING DEEP FOLDING NEURAL NETWORKS
Title (en)
MONITORING A LASER MACHINING PROCESS USING DEEP FOLDING NEURAL NETWORKS
Title (de)
ÜBERWACHUNG EINES LASERARBEITUNGSPROZESSES MITHILFE VON TIEFEN FALTENDEN NEURONALEN NETZEN
Title (fr)
SURVEILLANCE D'UN PROCESSUS D'USINAGE LASER À L'AIDE DE RÉSEAUX DE NEURONES ARTIFICIELS PLIANTS PROFONDS
Publication
Application
Priority
- DE 102018129441 A 20181122
- EP 2019077485 W 20191010
Abstract (en)
[origin: WO2020104103A1] The invention relates to a system for monitoring a laser machining process for machining a workpiece, comprising: a computing unit which is designed to determine an input tensor on the basis of current data of the laser machining process and to determine an output tensor on the basis of the input tensor using a transmission function, said output tensor containing information on a current machining result, wherein the transmission function between the input tensor and the output tensor is formed by a trained neural network.
IPC 8 full level
B23K 1/005 (2006.01); B23K 26/03 (2006.01); B23K 26/21 (2014.01); B23K 26/38 (2014.01); B23K 31/00 (2006.01); B23K 31/12 (2006.01)
CPC (source: EP KR US)
B23K 1/0056 (2013.01 - EP KR); B23K 26/032 (2013.01 - EP KR); B23K 26/21 (2015.10 - EP KR); B23K 26/38 (2013.01 - EP KR); B23K 31/006 (2013.01 - EP KR); B23K 31/125 (2013.01 - EP KR); G05B 13/027 (2013.01 - US); G06N 3/082 (2013.01 - US); G06T 7/0004 (2013.01 - US)
Citation (search report)
See references of WO 2020104103A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
WO 2020104103 A1 20200528; CN 113329836 A 20210831; DE 102018129441 A1 20200528; DE 102018129441 B4 20231116; EP 3883715 A1 20210929; JP 2022509143 A 20220120; JP 2024083389 A 20240621; KR 102611342 B1 20231206; KR 20210091789 A 20210722; US 12013670 B2 20240618; US 2022011726 A1 20220113
DOCDB simple family (application)
EP 2019077485 W 20191010; CN 201980089975 A 20191010; DE 102018129441 A 20181122; EP 19789615 A 20191010; JP 2021528414 A 20191010; JP 2024053110 A 20240328; KR 20217018693 A 20191010; US 201917295904 A 20191010