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Predictive Maintenance For A Device In The Food Industry By Means Of A Digital Twin, And Optimized Production Planning - EP4000018

The patent EP4000018 was granted to Krones on Oct 23, 2024. The application was originally filed on Jun 9, 2020 under application number EP20731471A. The patent is currently recorded with a legal status of "Granted And Under Opposition".

EP4000018

KRONES
Application Number
EP20731471A
Filing Date
Jun 9, 2020
Status
Granted And Under Opposition
Sep 19, 2024
Grant Date
Oct 23, 2024
External Links
Slate, Register, Google Patents

Patent Summary

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ZIEMANN HOLVRIEKAJul 22, 2025KUHNEN & WACKER PATENT UND RECHTSANWALTSBURO PARTG MBBADMISSIBLE

Patent Citations (14) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication NumberPublication Link
DESCRIPTIONDE102013208082
EXAMINATIONUS2018164759
INTERNATIONAL-SEARCH-REPORTDE102015211344
INTERNATIONAL-SEARCH-REPORTDE102016124083
INTERNATIONAL-SEARCH-REPORTEP2837984
INTERNATIONAL-SEARCH-REPORTEP3428756
INTERNATIONAL-SEARCH-REPORTEP3454150
INTERNATIONAL-SEARCH-REPORTUS2017185970
INTERNATIONAL-SEARCH-REPORTWO2019067630
OPPOSITIONDE112012007224T
OPPOSITIONEP3270252
OPPOSITIONEP3428756
OPPOSITIONEP3757703
OPPOSITIONUS2017185970

Non-Patent Literature (NPL) Citations (6) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference TextLink
EXAMINATION- ZHANG CHI ET AL, Equipment Health Indicator Learning Using Deep Reinforcement Learning, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER INTERNATIONAL PUBLISHING, CHAM, PAGE(S) 488 - 504, (20190118), ISSN 0302-9743, ISBN 978-3-030-10996-7, XP047679629
EXAMINATION- KESKI-VALKAMA TERO ED - ABRAHAM JIBI ET AL, "A Simulator for Event-oriented Data in Flexible Assembly System Fault Prediction", PROCEDIA COMPUTER SCIENCE, (20171101), vol. 119, doi:10.1016/J.PROCS.2017.11.168, ISSN 1877-0509, pages 121 - 130, XP085291182
EXAMINATION- GILABERT E ET AL, "Intelligent automation systems for predictive maintenance: A case study", ROBOTICS AND COMPUTER INTEGRATED MANUFACTURING, ELSEVIER SCIENCE PUBLISHERS BV., BARKING, GB, vol. 22, no. 5-6, doi:10.1016/J.RCIM.2005.12.010, ISSN 0736-5845, (20061001), pages 543 - 549, (20061001), XP025148613
EXAMINATION- Haibo He, "ADASYN: Adaptive synthetic sampling approach for imbalanced learning", PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN'08), vol. 10, doi:10.1109/IJCNN.2008.4633969, ISBN 978-1-4244-1821-3, (20080601), pages 1322 - 1328, URL: https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=4633969&ref=, XP093152073
INTERNATIONAL-SEARCH-REPORT- BHOOPATHI RAPOLU, "Wie K?nstliche Intelligenz (KI) die Bahnindustrie erobert - Bringing artificial intelligence (AI) to the rail industry", SIGNAL UND DRAHT: SIGNALLING & DATACOMMUNICATION, DE, (20160510), vol. 108, no. 5, ISSN 0037-4997, pages 37 - 41, XP055271632 [A] 3 * abstract * * Kapitel 4 *-
OPPOSITION- Papakonstantinou Nikolaos, O'halloran Bryan, Proper Scott, Turner Irem Y, "DETC2014-34628 - SIMULATION BASED MACHINE LEARNING FOR FAULT DETECTION IN COMPLEX SYSTEMS USING THE FUNCTIONAL FAILURE IDENTIFICATION AND PROPAGATION FRAMEWORK", SIMULATION BASED MACHINE LEARNING FOR FAULT DETECTION IN COMPLEX SYSTEMS USING THE FUNCTIONAL FAILURE IDENTIFICATION AND PROPAGATION FRAMEWORK, (20140817), XP093302531-

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