Name
Title | ||
|---|---|---|
An intelligent system for harmonic distortions detection in wind generator power electronic devices |
Abstract | ||
|---|---|---|
The high concern about climate change has boosted the promotion of renewable energy systems, being the wind power one of the key generation possibilities in this field. In this context, with the aim of ensuring the energy efficiency, the present work deals with the fault detection in the power electronic circuits of a wind generator system placed in a bioclimatic house. To do so, different outliers that emulate harmonic distortion appearance are tested. To implement a system capable of detecting this anomalous situations, six different one-class techniques are used, whose performance is thoroughly analyzed, offering interesting performance. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2020.07.155 | Neurocomputing |
Keywords | DocType | Volume |
Energy efficiency,Wind generator,One-class,Outlier detection | Journal | 456 |
ISSN | Citations | PageRank |
0925-2312 | 1 | 0.43 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Esteban Jove | 1 | 20 | 15.33 |
| Jose Manuel González-Cava | 2 | 1 | 0.43 |
| José Luís Casteleiro-Roca | 3 | 1 | 0.43 |
| Héctor Alaiz-Moretón | 4 | 13 | 10.28 |
| Bruno Baruque | 5 | 364 | 28.79 |
| Paulo Leitao | 6 | 102 | 16.48 |
| Juan Albino Méndez Pérez | 7 | 18 | 2.62 |
| José Luís Calvo-Rolle | 8 | 175 | 41.67 |