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Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks
Occurrence of faults in wind energy conversion systems (WECSs) is inevitable. In order to detect the occurred faults at the appropriate time, avoid heavy economic losses, ensure safe system operation, prevent damage to adjacent relevant systems, and facilitate timely repair of failed components; a f...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3972887/ https://www.ncbi.nlm.nih.gov/pubmed/24744774 http://dx.doi.org/10.1155/2014/580972 |