| Issue |
MATEC Web Conf.
Volume 391, 2024
22nd International Conference Diagnostics of Machines and Vehicles “Hybrid Multimedia Mobile Stage” (ICDMV 2023)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 4 | |
| Section | Engineering Creativity for Contemporary Europe | |
| DOI | https://doi.org/10.1051/matecconf/202439101014 | |
| Published online | 02 February 2024 | |
Hybrid wind turbine diagnostic system - a brief overview
1 Faculty of Mechanical Engineering, Bydgoszcz University of Sciences and Technology, 85-795 Bydgoszcz, Poland
2 Faculty of Special Technology, Trenčianska Univerzita Alexandra Dubčeka v Trenčíne, 911 50 Trencin, Slovakia
* Corresponding author: sylwester.borowski@pbs.edu.pl
The paper presents a short review of systems for diagnostics and forecasting the condition of wind turbines. Systems based on the analysis of data such as vibrations were indicated. Then, the SCADA system as a diagnostic tool was discussed. The article indicates the need to create a hybrid system based on SCADA that can predict the condition of wind turbine blades.
© The Authors, published by EDP Sciences, 2024
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.
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