Latent Neural Network For Recognition of Annomalies in 3D-Print of a Scale Model for Wind Tunnel Measurements-Reference-Cited by-同舟云学术

Latent Neural Network For Recognition of Annomalies in 3D-Print of a Scale Model for Wind Tunnel Measurements

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
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Author:

Tomiło Paweł¹,Pytka Jarosław²,Józwik Jerzy²,Gnapowski Ernest³,Muszyński Tomasz⁴,Łukaszewicz Andrzej⁵

Affiliation:

1. Lublin University of Technology,Faculty of Management,Lublin,Poland

2. Lublin University of Technology,Faculty of Mechanical Engineering,Lublin,Poland

3. University College of Administration,Department of Transport,Lublin,Poland

4. Institute of Technology and Aviation, University College of Applied Sciences,Chełm,Poland

5. Białystok University of Technology,Faculty of Mechanical Engineering,Bialystok,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189920/10189924/10190049.pdf?arnumber=10190049

Reference7 articles.

1. Doswiadczalna weryfikacja ukladu napedowego motoszybowca z silnikami elektrycznymi w skrzydlach;pytka;Technika Lotnicza i Astronautyczna - Aviation and Space Technology (in Polish) 1/2023,0

2. A New Approach to define reproducibility of Additive Layers manufactured components

3. Variational Autoencoder for Anomaly Detection in Event Data in Online Process Mining

4. An Introduction to Variational Autoencoders

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