Digital Twin Service Unit Development for an EV Induction Motor Fault Detection-Reference-Cited by-同舟云学术

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Digital Twin Service Unit Development for an EV Induction Motor Fault Detection

Published:2023-05-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Electric Machines & Drives Conference (IEMDC)
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Author:

Rjabtšikov Viktor¹,Ibrahim Mahmoud¹,Asad Bilal¹,Rassõlkin Anton¹,Vaimann Toomas¹,Kallaste Ants¹,Kuts Vladimir²,Stępień Mariusz³,Krawczyk Mateusz³

Affiliation:

1. Tallinn University of Technology,Department of Electrical Power Engineering and Mechatronics,Tallinn,Estonia

2. Tallinn University of Technology,Department of Mechanical and Industrial Engineering,Tallinn,Estonia

3. Silesian University of Technology,Department of Power Electronics, Electrical Drives and Robotics,Gliwice,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10238840/10238781/10239085.pdf?arnumber=10239085

Reference8 articles.

1. Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

2. Health monitoring and prognosis of electric vehicle motor using intelligent‐digital twin

3. Comparative Study of Interior Permanent Magnet, Induction, and Switched Reluctance Motor Drives for EV and HEV Applications

4. Concept of the Test Bench for Electrical Vehicle Propulsion Drive Data Acquisition

5. The Use of Digital Twins in Finite Element for the Study of Induction Motors Faults

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