Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/106400| Author(s): | João Miguel Guimarães Fidalgo Roque |
| Title: | Estimating wind turbine generators failures using machine learning |
| Issue Date: | 2017-07-07 |
| Description: | The objective of this thesis is to estimate failures of wind turbine generators, using real data. It will seek to predict the failure and model it's reliability. In order to achieve this goal, machine learning algorithms, such as neural networks, support vector machines and decision trees will be used. |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/d9xr-mx50 |
| TID identifier: | 201799138 |
| URI: | https://hdl.handle.net/10216/106400 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 205341.pdf | Estimating wind turbine generators failures using machine learning | 1.27 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
