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Digital twin for condition monitoring of actuators

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00368403" target="_blank" >RIV/68407700:21230/23:00368403 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1784/cm2023.5d1" target="_blank" >http://dx.doi.org/10.1784/cm2023.5d1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1784/cm2023.5d1" target="_blank" >10.1784/cm2023.5d1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Digital twin for condition monitoring of actuators

  • Original language description

    Digital Twin is an individual model of the physical system with the support of enabling technologies, including multi-physics simulation, machine learning, etc. We developed Digital Twin for electromechanical actuators (EMA) containing three essential parts: real physical system (real EMA), digital model (virtual EMA), and information interconnection (real-time data from sensors and control), which allows capturing the current state of the physical system in a digital model. The virtual EMA provides the near real-time representation of the physical EMA. It offers the potential to optimize operations and maintenance and further accelerates the new product development process. The virtual EMA enables degradations detection, What-If simulations, RUL estimations, KPIs trending, etc. The degradation tracking performance of the digital twin was evaluated using a test stand with real EMA and seeded faults (degraded tooth, partial winding short, loss of lubrication). The results indicate that this approach can be used for the monitoring of EMA degradations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Nineteenth International Conference on Condition Monitoring and Asset Management

  • ISBN

    9780903132817

  • ISSN

    2632-637X

  • e-ISSN

    2632-637X

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    British Institute of Non-Destructive Testing ( BINDT )

  • Place of publication

    Northamption

  • Event location

    Northampton

  • Event date

    Sep 11, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article