EP3705964 - A METHOD FOR THE SCALABLE REAL-TIME STATE RECOGNITION OF PROCESSES AND/OR SUB-PROCESSES DURING PRODUCTION WITH ELECTRICALLY DRIVEN PRODUCTION PLANTS [Right-click to bookmark this link] | Status | No opposition filed within time limit Status updated on 29.09.2023 Database last updated on 31.08.2024 | |
Former | The patent has been granted Status updated on 21.10.2022 | ||
Former | Grant of patent is intended Status updated on 23.06.2022 | ||
Former | Examination is in progress Status updated on 24.09.2021 | ||
Former | Request for examination was made Status updated on 12.03.2021 | ||
Former | The application has been published Status updated on 07.08.2020 | Most recent event Tooltip | 14.06.2024 | Lapse of the patent in a contracting state New state(s): MC | published on 17.07.2024 [2024/29] | Applicant(s) | For all designated states Technische Universität Berlin Strasse des 17. Juni 135 10623 Berlin / DE | [2020/37] | Inventor(s) | 01 /
EMEC, Soner Alt-Moabit 43 10555 Berlin / DE | [2020/37] | Representative(s) | Hertin und Partner Rechts- und Patentanwälte PartG mbB Kurfürstendamm 54/55 10707 Berlin / DE | [2020/37] | Application number, filing date | 20153765.1 | 27.01.2020 | [2020/37] | Priority number, date | DE201910105369 | 04.03.2019 Original published format: DE102019105369 | DE20191001838 | 06.03.2019 Original published format: DE102019001838 | [2020/37] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | EP3705964 | Date: | 09.09.2020 | Language: | EN | [2020/37] | Type: | B1 Patent specification | No.: | EP3705964 | Date: | 23.11.2022 | Language: | EN | [2022/47] | Search report(s) | (Supplementary) European search report - dispatched on: | EP | 28.07.2020 | Classification | IPC: | G05B19/418 | [2020/37] | CPC: |
G05B19/4184 (EP);
G05B2219/34465 (EP);
Y02P90/02 (EP);
Y02P90/80 (EP)
| Designated contracting states | 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 [2021/15] |
Former [2020/37] | 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 | Title | German: | VERFAHREN ZUR SKALIERBAREN ECHTZEITZUSTANDSERKENNUNG VON PROZESSEN UND/ODER TEILPROZESSEN BEI DER HERSTELLUNG MIT ELEKTRISCH ANGETRIEBENEN PRODUKTIONSANLAGEN | [2020/37] | English: | A METHOD FOR THE SCALABLE REAL-TIME STATE RECOGNITION OF PROCESSES AND/OR SUB-PROCESSES DURING PRODUCTION WITH ELECTRICALLY DRIVEN PRODUCTION PLANTS | [2020/37] | French: | PROCÉDÉ DE RECONNAISSANCE D'ÉTAT ÉVOLUTIF EN TEMPS RÉEL DE PROCESSUS ET/OU DE SOUS-PROCESSUS PENDANT LA PRODUCTION AVEC DES INSTALLATIONS DE PRODUCTION À ENTRAÎNEMENT ÉLECTRIQUE | [2020/37] | Examination procedure | 05.03.2021 | Amendment by applicant (claims and/or description) | 05.03.2021 | Examination requested [2021/15] | 05.03.2021 | Date on which the examining division has become responsible | 24.09.2021 | Despatch of a communication from the examining division (Time limit: M04) | 21.01.2022 | Reply to a communication from the examining division | 24.06.2022 | Communication of intention to grant the patent | 18.10.2022 | Fee for grant paid | 18.10.2022 | Fee for publishing/printing paid | 18.10.2022 | Receipt of the translation of the claim(s) | Opposition(s) | 24.08.2023 | No opposition filed within time limit [2023/44] | Fees paid | Renewal fee | 17.01.2022 | Renewal fee patent year 03 |
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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 Tooltip | AL | 23.11.2022 | AT | 23.11.2022 | CZ | 23.11.2022 | DK | 23.11.2022 | EE | 23.11.2022 | ES | 23.11.2022 | FI | 23.11.2022 | HR | 23.11.2022 | IT | 23.11.2022 | LT | 23.11.2022 | LV | 23.11.2022 | MC | 23.11.2022 | PL | 23.11.2022 | RO | 23.11.2022 | RS | 23.11.2022 | SE | 23.11.2022 | SI | 23.11.2022 | SK | 23.11.2022 | SM | 23.11.2022 | IE | 27.01.2023 | LU | 27.01.2023 | BE | 31.01.2023 | NO | 23.02.2023 | GR | 24.02.2023 | IS | 23.03.2023 | PT | 23.03.2023 | [2024/29] |
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NO | 23.02.2023 | Documents cited: | Search | [A]US2011288660 (WOJSZNIS WILHELM K [US], et al) [A] 1-17* paragraphs [0063] - [0119]; figures 3, 8-15 *; | [X]CN108776276 (UNIV HEFEI TECHNOLOGY) [X] 1-17 * the whole document *; | [X] - WANG YULIN ET AL, "An analysis framework for characterization of electrical power data in machining", INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, KOREAN SOCIETY FOR PRECISION ENGINEERING, SPRINGER, vol. 16, no. 13, doi:10.1007/S12541-015-0347-Z, ISSN 2234-7593, (20151208), pages 2717 - 2723, (20151208), XP035720013 [X] 1-17 * the whole document * DOI: http://dx.doi.org/10.1007/s12541-015-0347-z | by applicant | - "Making Time-series Classification More Accurate Using Learned Constraints", RATANAMAHATANA, C.A.KEOGH, E., Proceedings of the Fourth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, (20040000), pages 11 - 22 | - SAKOE, H.CHIBA, S., "Dynamic programming algorithm optimization for spoken word recognition", IEEE Transactions on Acoustics, Speech, and Signal Processing, (19780000), vol. 26, no. 1, pages 43 - 49, XP000647286 |