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Extract from the Register of European Patents

EP About this file: EP3791196

EP3791196 - SYSTEM FOR LOCATING FAULT IN POWER DISTRIBUTION NETWORK BASED ON MIXED MODE WAVE RECORDING [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  12.02.2021
Database last updated on 28.05.2024
FormerThe international publication has been made
Status updated on  16.11.2019
Most recent event   Tooltip15.04.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
Inhand Networks Inc.
3900 Jermantown Road
Suite 150
Fairfax, VA 22030 / US
[2021/11]
Inventor(s)01 / ZHANG, Jianliang
No. 101 West 11th Floor of Qiming International
Mansion Lize Central Park, Wangjing, Chaoyang
Dist
Beijing 100102 / CN
02 / DAI, Yibo
No. 101 West 11th Floor of Qiming International
Mansion Lize Central Park, Wangjing, Chaoyang
Dist
Beijing 100102 / CN
03 / YAO, Qiang
No. 101 West 11th Floor of Qiming International
Mansion Lize Central Park, Wangjing, Chaoyang
Dist
Beijing 100102 / CN
 [2021/11]
Representative(s)AWA Sweden AB
Junkersgatan 1
582 35 Linköping / SE
[2021/11]
Application number, filing date18917945.007.05.2018
[2021/11]
WO2018US31457
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2019216878
Date:14.11.2019
Language:EN
[2019/46]
Type: A1 Application with search report 
No.:EP3791196
Date:17.03.2021
Language:EN
The application published by WIPO in one of the EPO official languages on 14.11.2019 takes the place of the publication of the European patent application.
[2021/11]
Search report(s)International search report - published on:US14.11.2019
(Supplementary) European search report - dispatched on:EP03.12.2021
ClassificationIPC:G06N3/04, G01R31/08, G05B23/02, G06N3/08, G06Q10/06, G06Q50/06
[2022/01]
CPC:
G06Q50/06 (EP); G01R31/086 (EP,US); G05B23/024 (EP,US);
G06N3/04 (US); G06N3/044 (EP); G06N3/045 (EP);
G06N3/08 (EP); G06Q10/063 (EP); Y04S10/52 (EP) (-)
Former IPC [2021/11]G01R31/08, G06Q50/06, G06N3/02, G06N3/08, G05B13/04, G05B23/02
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 [2021/11]
TitleGerman:SYSTEM ZUR FEHLERORTUNG IN EINEM LEISTUNGSVERTEILUNGSNETZ AUF DER GRUNDLAGE EINER MISCHMODUS-WELLENAUFZEICHNUNG[2021/11]
English:SYSTEM FOR LOCATING FAULT IN POWER DISTRIBUTION NETWORK BASED ON MIXED MODE WAVE RECORDING[2021/11]
French:SYSTÈME DE LOCALISATION DE DÉFAUT DANS UN RÉSEAU DE DISTRIBUTION D'ÉNERGIE SUR LA BASE D'UN ENREGISTREMENT D'ONDES EN MODE MIXTE[2021/11]
Entry into regional phase09.07.2020National basic fee paid 
09.07.2020Search fee paid 
09.07.2020Designation fee(s) paid 
09.07.2020Examination fee paid 
Examination procedure09.07.2020Examination requested  [2021/11]
08.06.2022Amendment by applicant (claims and/or description)
Fees paidRenewal fee
09.07.2020Renewal fee patent year 03
16.04.2021Renewal fee patent year 04
15.03.2022Renewal fee patent year 05
13.04.2023Renewal fee patent year 06
15.04.2024Renewal fee patent year 07
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Documents cited:Search[I]  - GUO MOU-FA ET AL, "Deep-Learning-Based Earth Fault Detection Using Continuous Wavelet Transform and Convolutional Neural Network in Resonant Grounding Distribution Systems", IEEE SENSORS JOURNAL, IEEE, USA, vol. 18, no. 3, doi:10.1109/JSEN.2017.2776238, ISSN 1530-437X, (20180201), pages 1291 - 1300, (20180105), XP011675579 [I] 1-12 * abstract * * section II-A * * section II-B * * section III-A, lines 1-9 * * section IV-C * * section § IV-D * * table IV * * Equations (2)-(5), (9) *

DOI:   http://dx.doi.org/10.1109/JSEN.2017.2776238
 [A]  - XI PENG ET AL, "Fault Detection Algorithm for Power Distribution Network Based on Sparse Self-Encoding Neural Network", 2017 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA), IEEE, (20170527), doi:10.1109/ICSGEA.2017.19, pages 9 - 12, XP033253247 [A] 1-12 * the whole document *

DOI:   http://dx.doi.org/10.1109/ICSGEA.2017.19
 [A]  - WU HUWEI ET AL, "Modeling and detection of high impedance faults", 2014 INTERNATIONAL CONFERENCE ON SMART GREEN TECHNOLOGY IN ELECTRICAL AND INFORMATION SYSTEMS (ICSGTEIS), IEEE, doi:10.1109/ICSGTEIS.2014.7038738, ISBN 978-1-4799-6126-9, (20141105), pages 88 - 93, (20150210), XP032735080 [A] 1-12 * the whole document *

DOI:   http://dx.doi.org/10.1109/ICSGTEIS.2014.7038738
 [A]  - AL-DABBAGH M ET AL, "Neural networks based algorithm for detecting high impedance faults on power distribution lines", NEURAL NETWORKS, 1999. IJCNN '99. INTERNATIONAL JOINT CONFERENCE ON WASHINGTON, DC, USA 10-16 JULY 1999, PISCATAWAY, NJ, USA,IEEE, US, (19990710), vol. 5, doi:10.1109/IJCNN.1999.836206, ISBN 978-0-7803-5529-3, pages 3386 - 3390, XP010373037 [A] 1-12 * the whole document *

DOI:   http://dx.doi.org/10.1109/IJCNN.1999.836206
International search[A]US2010007333  (SEKIGUCHI KATSUHIKO [JP], et al) [A] 1-12* ; the entire document. *;
 [A]US2013232094  (ANDERSON ROGER N [US], et al) [A] 1-12 * the entire document. *;
 [A]CN107609569  (BEIJING INHAND NETWORK TECH CO LTD) [A] 1-12 * ; (see machine translation). *
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.