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Extract from the Register of European Patents

EP About this file: EP3990904

EP3990904 - METHOD FOR DETECTING DEFECTS IN A COMPONENT, METHOD FOR TRAINING A MACHINE LEARNING SYSTEM, COMPUTER PROGRAM PRODUCT, COMPUTER-READABLE MEDIUM, AND SYSTEM FOR DETECTING DEFECTS IN A COMPONENT [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  31.05.2024
Database last updated on 29.10.2024
FormerRequest for examination was made
Status updated on  02.04.2022
FormerThe international publication has been made
Status updated on  15.01.2021
Formerunknown
Status updated on  25.07.2020
Most recent event   Tooltip14.09.2024Change: Despatch of examination report + time limit 
Applicant(s)For all designated states
MTU Aero Engines AG
Dachauer Strasse 665
80995 München / DE
[2022/18]
Inventor(s)01 / BONHAGE, Marius
c/o MTU Aero Engines AG Dachauer Strasse 665
80995 München / DE
02 / ASCHERMANN, Lars
c/o MTU Aero Engines AG Dachauer Strasse 665
80995 München / DE
03 / SEIDEL, Frank
c/o MTU Aero Engines AG Dachauer Strasse 665
80995 München / DE
04 / SCHULZE, Uwe
c/o MTU Aero Engines AG Dachauer Strasse 665
80995 München / DE
05 / LÜTKE, Matthias
c/o MTU Aero Engines AG Dachauer Strasse 665
80995 München / DE
06 / DÖBBER, Philipp
c/o MTU Aero Engines AG Dachauer Strasse 665
80995 München / DE
 [2022/18]
Application number, filing date20740503.624.06.2020
[2022/18]
WO2020DE00141
Priority number, dateDE20191020940827.06.2019         Original published format: DE102019209408
[2022/18]
Filing languageDE
Procedural languageDE
PublicationType: A1 Application with search report
No.:WO2020259732
Date:30.12.2020
Language:DE
[2020/53]
Type: A1 Application with search report 
No.:EP3990904
Date:04.05.2022
Language:DE
The application published by WIPO in one of the EPO official languages on 30.12.2020 takes the place of the publication of the European patent application.
[2022/18]
Search report(s)International search report - published on:EP30.12.2020
ClassificationIPC:G01N21/91, G06T7/00, G01N21/95, G01N21/88
[2022/18]
CPC:
G01N21/91 (EP,US); G06T7/0004 (EP,US); G01N2021/8883 (EP,US);
G01N2021/8887 (EP,US); G01N21/9515 (EP,US); G06T2207/20081 (US);
G06T2207/20084 (EP,US); G06T2207/30164 (EP,US); G06T2207/30204 (US) (-)
Designated contracting statesAL,   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 [2022/18]
TitleGerman:VERFAHREN ZUM ERKENNEN VON FEHLSTELLEN IN EINEM BAUTEIL, VERFAHREN ZUM TRAINIEREN EINES MASCHINELLEN LERNSYSTEMS, COMPUTERPROGRAMMPRODUKT, COMPUTERLESBARES MEDIUM UND SYSTEM ZUM ERKENNEN VON FEHLSTELLEN IN EINEM BAUTEIL[2022/18]
English:METHOD FOR DETECTING DEFECTS IN A COMPONENT, METHOD FOR TRAINING A MACHINE LEARNING SYSTEM, COMPUTER PROGRAM PRODUCT, COMPUTER-READABLE MEDIUM, AND SYSTEM FOR DETECTING DEFECTS IN A COMPONENT[2022/18]
French:PROCÉDÉ DE DÉTECTION DE DÉFAUTS DANS UN COMPOSANT, PROCÉDÉ DE FORMATION D'UN SYSTÈME D'APPRENTISSAGE AUTOMATIQUE, PRODUIT PROGRAMME D'ORDINATEUR, SUPPORT LISIBLE PAR ORDINATEUR ET SYSTÈME DE DÉTECTION DE DÉFAUTS DANS UN COMPOSANT[2022/18]
Entry into regional phase15.12.2021National basic fee paid 
15.12.2021Designation fee(s) paid 
15.12.2021Examination fee paid 
Examination procedure21.12.2021Examination requested  [2022/18]
21.12.2021Date on which the examining division has become responsible
25.07.2022Amendment by applicant (claims and/or description)
04.06.2024Despatch of a communication from the examining division (Time limit: M06)
Fees paidRenewal fee
21.06.2022Renewal fee patent year 03
20.06.2023Renewal fee patent year 04
24.06.2024Renewal fee patent year 05
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Cited inInternational search[Y]DE19645377  (TIEDE GMBH & CO RISSPRUEFANLAGEN [DE]);
 [A]DE19708582  (BAUER ERNST & SOHN GMBH CO KG [DE]);
 [A]DE102013213369  (MTU AERO ENGINES AG [DE]);
 [X]US10054552  (FRUTUOSO SERGIO S [US], et al);
 [Y]DE102018211212  (FANUC CORP [JP])
ExaminationUS2003167616
 WO2012122542
 US2013113914
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.