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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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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
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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
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