| Issue |
MATEC Web Conf.
Volume 244, 2018
Innovative Technologies in Engineering Production (ITEP’18)
|
|
|---|---|---|
| Article Number | 01027 | |
| Number of page(s) | 7 | |
| Section | Progressives Technologies | |
| DOI | https://doi.org/10.1051/matecconf/201824401027 | |
| Published online | 05 December 2018 | |
Application of artificial intelligence principles in mechanical engineering
1
University of Žilina, Faculty of Mechanical Engineering, Department of Automation and Production Systems, Univerzitná 1, 010 26 Žilina, Slovak Republic
2
National Transport University, Faculty of Automotive and Mechanical Engineering, 01010 Kyiv, 1 Omelianovycha-Pavlenka str., Ukraine
3
ATH - University of Bielsko Biala, Faculty of Mechanical Engineering and Computer Science, 43-309 Bielsko Biala, Willowa 2, Poland
* Corresponding author: ivan.zajacko@fstroj.uniza.sk
The article deals with methods of Artificial Intelligence and their utilisation in technical diagnostics. Special meaning will be given on methods such as Deep learning. The deep learning method seems to be a very good candidate for defect detection and pattern recognition. The method was applied for technical diagnostic in automotive factory and the problem will be described in the paper.
Key words: Artificial Intelligence / Deep convolutional neural network / Vision system / Machine learning
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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