| Issue |
E3S Web Conf.
Volume 224, 2020
Topical Problems of Agriculture, Civil and Environmental Engineering (TPACEE 2020)
|
|
|---|---|---|
| Article Number | 02018 | |
| Number of page(s) | 8 | |
| Section | Information Technologies for Environmental Sustainability | |
| DOI | https://doi.org/10.1051/e3sconf/202022402018 | |
| Published online | 23 December 2020 | |
The safety assessment of lifting equipment using artificial intelligence methods
Don State Technical University, 1, Gagarin square, 344000, Rostov-on-Don, Russia
* Corresponding author: lyapin.rnd@yandex.ru
The article is devoted to the problem of using artificial neural networks to assess the risk of developing emergencies during the operation of lifting crane equipment. The data sources are telemetric measurements from microcontroller load limiters, as well as data from technical and daily inspections of equipment condition, in the last case the data may be fuzzy.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.