LU504528B1 - Harmonizing parameter data for use in digital twins - Google Patents

Harmonizing parameter data for use in digital twins Download PDF

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Publication number
LU504528B1
LU504528B1 LU504528A LU504528A LU504528B1 LU 504528 B1 LU504528 B1 LU 504528B1 LU 504528 A LU504528 A LU 504528A LU 504528 A LU504528 A LU 504528A LU 504528 B1 LU504528 B1 LU 504528B1
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LU
Luxembourg
Prior art keywords
parameter
data
network
source
computer
Prior art date
Application number
LU504528A
Other languages
English (en)
French (fr)
Inventor
Cédric Schockaert
Fabrice Hansen
Original Assignee
Wurth Paul Sa
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wurth Paul Sa filed Critical Wurth Paul Sa
Priority to LU504528A priority Critical patent/LU504528B1/en
Priority to TW113121706A priority patent/TW202520018A/zh
Priority to EP24732019.5A priority patent/EP4728331A1/de
Priority to KR1020257038977A priority patent/KR20260023507A/ko
Priority to CN202480034007.7A priority patent/CN121175635A/zh
Priority to PCT/EP2024/066487 priority patent/WO2024256605A1/en
Priority to ARP240101536A priority patent/AR132978A1/es
Application granted granted Critical
Publication of LU504528B1 publication Critical patent/LU504528B1/en

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Human Computer Interaction (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Stored Programmes (AREA)
  • Computer And Data Communications (AREA)
LU504528A 2023-06-16 2023-06-16 Harmonizing parameter data for use in digital twins LU504528B1 (en)

Priority Applications (7)

Application Number Priority Date Filing Date Title
LU504528A LU504528B1 (en) 2023-06-16 2023-06-16 Harmonizing parameter data for use in digital twins
TW113121706A TW202520018A (zh) 2023-06-16 2024-06-12 用於數位孿生之協調參數資料
EP24732019.5A EP4728331A1 (de) 2023-06-16 2024-06-13 Harmonisierung von parameterdaten zur verwendung in digitalen zwillingen
KR1020257038977A KR20260023507A (ko) 2023-06-16 2024-06-13 디지털 트윈에 사용하기 위한 파라미터 데이터의 조화
CN202480034007.7A CN121175635A (zh) 2023-06-16 2024-06-13 协调用于数字孪生的参数数据
PCT/EP2024/066487 WO2024256605A1 (en) 2023-06-16 2024-06-13 Harmonizing parameter data for use in digital twins
ARP240101536A AR132978A1 (es) 2023-06-16 2024-06-14 Armonización de datos de parámetros para uso en gemelos

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
LU504528A LU504528B1 (en) 2023-06-16 2023-06-16 Harmonizing parameter data for use in digital twins

Publications (1)

Publication Number Publication Date
LU504528B1 true LU504528B1 (en) 2024-12-16

Family

ID=87136409

Family Applications (1)

Application Number Title Priority Date Filing Date
LU504528A LU504528B1 (en) 2023-06-16 2023-06-16 Harmonizing parameter data for use in digital twins

Country Status (7)

Country Link
EP (1) EP4728331A1 (de)
KR (1) KR20260023507A (de)
CN (1) CN121175635A (de)
AR (1) AR132978A1 (de)
LU (1) LU504528B1 (de)
TW (1) TW202520018A (de)
WO (1) WO2024256605A1 (de)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180356800A1 (en) * 2017-06-08 2018-12-13 Rockwell Automation Technologies, Inc. Predictive maintenance and process supervision using a scalable industrial analytics platform
US20200326684A1 (en) * 2019-04-15 2020-10-15 Rockwell Automation Technologies, Inc. Smart gateway platform for industrial internet of things
WO2022194871A1 (en) 2021-03-16 2022-09-22 Paul Wurth S.A. Generating virtual sensors for use in industrial machines
WO2022240906A1 (en) * 2021-05-11 2022-11-17 Strong Force Vcn Portfolio 2019, Llc Systems, methods, kits, and apparatuses for edge-distributed storage and querying in value chain networks
WO2023105294A1 (en) * 2021-12-10 2023-06-15 Newsouth Innovations Pty Limited Methods, systems, devices and neural networks for forecasting a time series

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180356800A1 (en) * 2017-06-08 2018-12-13 Rockwell Automation Technologies, Inc. Predictive maintenance and process supervision using a scalable industrial analytics platform
US20200326684A1 (en) * 2019-04-15 2020-10-15 Rockwell Automation Technologies, Inc. Smart gateway platform for industrial internet of things
WO2022194871A1 (en) 2021-03-16 2022-09-22 Paul Wurth S.A. Generating virtual sensors for use in industrial machines
WO2022240906A1 (en) * 2021-05-11 2022-11-17 Strong Force Vcn Portfolio 2019, Llc Systems, methods, kits, and apparatuses for edge-distributed storage and querying in value chain networks
WO2023105294A1 (en) * 2021-12-10 2023-06-15 Newsouth Innovations Pty Limited Methods, systems, devices and neural networks for forecasting a time series

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
HUIHUI ZHANG ET AL.: "A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting", COMPUT INTELL NEUROSCI. 2022, 2022, pages 5596676
KYUNGHYUN CHO ET AL.: "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation", ARXIV:1406.1078V3
PH I I.TRA NS. R.SOC.A, vol. 379, pages 20200209, Retrieved from the Internet <URL:https://doi.org/10.1098/rsta.2020.0209>

Also Published As

Publication number Publication date
WO2024256605A1 (en) 2024-12-19
CN121175635A (zh) 2025-12-19
EP4728331A1 (de) 2026-04-22
AR132978A1 (es) 2025-08-13
KR20260023507A (ko) 2026-02-20
TW202520018A (zh) 2025-05-16

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Effective date: 20241216