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Extract from the Register of European Patents

EP About this file: EP3441836

EP3441836 - ALGORITHM AND METHOD FOR DETECTING FAULTS OF A MACHINE BASED ON MACHINE-LEARNING TECHNIQUE [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  30.08.2024
Database last updated on 11.09.2024
FormerThe patent has been granted
Status updated on  22.09.2023
FormerGrant of patent is intended
Status updated on  08.05.2023
FormerExamination is in progress
Status updated on  02.07.2021
FormerRequest for examination was made
Status updated on  11.01.2019
Most recent event   Tooltip30.08.2024No opposition filed within time limitpublished on 02.10.2024 [2024/40]
Applicant(s)For all designated states
Ulala Lab, Inc.
Gwanyang-dong 505-ho
11-41, Simin-daero 327beon-gil
Dongan-gu
Anyang-si, Gyeonggi-do 14055 / KR
[2019/07]
Inventor(s)01 / Kang, Hak Ju
ULALA LAB. INC.
(Gwanyang-dong), 614-ho, Creative Economy
Convergence Center, 11-41, Simin-daero
327beon-gil, Dongan-gu
Anyang-si Gyeonggi-do 14055 / KR
 [2019/07]
Representative(s)Beck Greener LLP
Fulwood House
12 Fulwood Place
London WC1V 6HR / GB
[2023/43]
Former [2019/07]Beck Greener
Fulwood House
12 Fulwood Place
London WC1V 6HR / GB
Application number, filing date17190197.808.09.2017
[2019/07]
Priority number, dateKR2017010143310.08.2017         Original published format: KR 20170101433
[2019/07]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3441836
Date:13.02.2019
Language:EN
[2019/07]
Type: B1 Patent specification 
No.:EP3441836
Date:25.10.2023
Language:EN
[2023/43]
Search report(s)(Supplementary) European search report - dispatched on:EP25.04.2018
ClassificationIPC:G05B23/02
[2019/07]
CPC:
G05B23/0235 (EP,US); G06F11/07 (KR); G06N20/00 (KR,US);
G05B23/02 (KR); G06F11/0703 (US); G06F16/00 (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 [2019/07]
Extension statesBANot yet paid
MENot yet paid
Validation statesMANot yet paid
MDNot yet paid
TitleGerman:ALGORITHMUS UND VERFAHREN ZUR ERKENNUNG VON FEHLER EINER MASCHINE BASIEREND AUF MASCHINENLERNTECHNIK[2023/17]
English:ALGORITHM AND METHOD FOR DETECTING FAULTS OF A MACHINE BASED ON MACHINE-LEARNING TECHNIQUE[2019/07]
French:ALGORITHME ET PROCÉDÉ POUR DÉTECTER DES DÉFAUTS D'UNE MACHINE SUR LA BASE D'UNE TECHNIQUE D'APPRENTISSAGE AUTOMATIQUE[2019/07]
Former [2019/07]ALGORITHMUS UND VERFAHREN ZUR ERKENNUNG VON FEHLERN EINER MASCHINE BASIEREND AUF MASCHINENLERNTECHNIK
Examination proceduredeletedDate on which the examining division has become responsible
08.09.2017Examination requested  [2019/07]
18.01.2019Amendment by applicant (claims and/or description)
02.07.2021Despatch of a communication from the examining division (Time limit: M06)
12.01.2022Reply to a communication from the examining division
09.05.2023Communication of intention to grant the patent
09.08.2023Fee for grant paid
09.08.2023Fee for publishing/printing paid
09.08.2023Receipt of the translation of the claim(s)
Opposition(s)26.07.2024No opposition filed within time limit [2024/40]
Fees paidRenewal fee
09.09.2019Renewal fee patent year 03
10.09.2020Renewal fee patent year 04
05.08.2021Renewal fee patent year 05
01.09.2022Renewal fee patent year 06
19.09.2023Renewal fee patent year 07
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Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipAT25.10.2023
CZ25.10.2023
DK25.10.2023
EE25.10.2023
ES25.10.2023
HR25.10.2023
IT25.10.2023
LT25.10.2023
LV25.10.2023
NL25.10.2023
PL25.10.2023
RO25.10.2023
RS25.10.2023
SE25.10.2023
SK25.10.2023
SM25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
[2024/36]
Former [2024/35]AT25.10.2023
CZ25.10.2023
DK25.10.2023
EE25.10.2023
ES25.10.2023
HR25.10.2023
LT25.10.2023
LV25.10.2023
NL25.10.2023
PL25.10.2023
RO25.10.2023
RS25.10.2023
SE25.10.2023
SM25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/34]AT25.10.2023
DK25.10.2023
EE25.10.2023
ES25.10.2023
HR25.10.2023
LT25.10.2023
LV25.10.2023
NL25.10.2023
PL25.10.2023
RS25.10.2023
SE25.10.2023
SM25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/33]AT25.10.2023
DK25.10.2023
ES25.10.2023
HR25.10.2023
LT25.10.2023
LV25.10.2023
NL25.10.2023
PL25.10.2023
RS25.10.2023
SE25.10.2023
SM25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/26]AT25.10.2023
ES25.10.2023
HR25.10.2023
LT25.10.2023
LV25.10.2023
NL25.10.2023
PL25.10.2023
RS25.10.2023
SE25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/25]AT25.10.2023
ES25.10.2023
HR25.10.2023
LT25.10.2023
NL25.10.2023
PL25.10.2023
RS25.10.2023
SE25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/24]AT25.10.2023
ES25.10.2023
HR25.10.2023
LT25.10.2023
NL25.10.2023
RS25.10.2023
SE25.10.2023
BG25.01.2024
NO25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/23]AT25.10.2023
ES25.10.2023
LT25.10.2023
NL25.10.2023
BG25.01.2024
GR26.01.2024
IS25.02.2024
PT26.02.2024
Former [2024/21]LT25.10.2023
NL25.10.2023
BG25.01.2024
GR26.01.2024
IS25.02.2024
Former [2024/20]NL25.10.2023
GR26.01.2024
IS25.02.2024
Former [2024/17]NL25.10.2023
Documents cited:Search[A]US2005102426  (HAMM GREGORY P [US], et al) [A] 1,15* page 1 - page 3 *;
 [A]WO2013113379  (ABB RESEARCH LTD [CH], et al) [A] 1,15 * page 19 - page 20 *;
 [I]US2017139398  (TSUZUKI TOSHIYUKI [JP], et al) [I] 1-15 * page 1 - page 12; figures 4, 6 *
ExaminationUS2015006972
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.