Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering-Reference-Cited by-同舟云学术

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Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering

Published:2024-07 Issue:4 Volume:44 Page:113-125
ISSN:0272-1716
Container-title:IEEE Computer Graphics and Applications
language:
Short-container-title:IEEE Comput. Grap. Appl.

Author:

Louis Patrick¹^ORCID,Cibulski Lena²^ORCID,Suschnigg Josef¹^ORCID,Marth Edmund³^ORCID,Mitterhofer Hubert⁴^ORCID,Kohlhammer Jörn²^ORCID,Schreck Tobias⁵^ORCID,Mutlu Belgin¹^ORCID

Affiliation:

1. Pro²Future GmbH, Graz, Austria

2. Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany

3. Institute for electrical drives and power electronics, Johannes Kepler University, Linz, Austria

4. Linz Center of Mechatronics GmbH, Linz, Austria

5. Graz University of Technology, Graz, Austria

Funder

Austrian FFG-COMETK1 Center Pro²Future

Austrian Federal Government

Federal State of Upper Austria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/38/10640124/10508047.pdf?arnumber=10508047

Reference29 articles.

1. Simulation-assisted training of neural networks for condition monitoring of electrical drives: Approach and proof of concept;Marth,2022

2. Development of an expert system for identification, commissioning and monitoring of drives

3. Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review

4. Condition Monitoring of Industrial Electric Machines: State of the Art and Future Challenges

5. Rotating Electrical Machine Condition Monitoring Automation—A Review

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