Issue |
E3S Web Conf.
Volume 419, 2023
V International Scientific Forum on Computer and Energy Sciences (WFCES 2023)
|
|
---|---|---|
Article Number | 01028 | |
Number of page(s) | 6 | |
Section | Energy Sciences, Engineering and Industry | |
DOI | https://doi.org/10.1051/e3sconf/202341901028 | |
Published online | 25 August 2023 |
Analytical research of wind farms damage
South Ural State University, Polytechnic Institute, Electric Power Generation Stations, Networks and Supply Systems Department, 454080 Chelyabinsk, Russia
* Corresponding author: pte2017pte@mail.ru
Wind farms are expensive and technically complex equipment. Maintaining it in working condition is an important task not only from an economic point of view, but also from a practical point of view. Even minor breakdowns and damages should be quickly eliminated. Wind farms are constantly being upgraded and improved. They are produced under specific operating conditions. However, this cannot completely exclude emergency situations. Therefore, engineering services involved in monitoring the operation of a wind farm should conduct inspections with some frequency. Until recently, such inspections were carried out entirely by people, which was associated with various problems and risks. People put their lives in danger; money is spent on the departure of a team of engineers to perform a relatively simple inspection operation. This study can be useful in the development and design of computer vision systems aimed at operating during inspections of wind farms.
© The Authors, published by EDP Sciences, 2023
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.