MATEC Web Conf.
Volume 244, 2018Innovative Technologies in Engineering Production (ITEP’18)
|Number of page(s)||7|
|Published online||05 December 2018|
Application of artificial intelligence principles in mechanical engineering
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: firstname.lastname@example.org
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.