Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/86271
Título: | A distributed topology for identifying anomalies in an industrial environment |
Autor(es): | Zayas-Gato, Francisco Michelena, Alvaro Jove, Esteban Casteleiro-Roca, Jose-Luis Quintian, Hector Novais, Paulo Albino Mendez-Perez, Juan Luis Calvo-Rolle, Jose |
Palavras-chave: | Anomaly detection One-class Control system kNN MST NCBoP PCA SVDD |
Data: | 2022 |
Editora: | Springer |
Revista: | Neural Computing & Applications |
Citação: | Zayas-Gato, F., Michelena, Á., Jove, E. et al. A distributed topology for identifying anomalies in an industrial environment. Neural Comput & Applic 34, 20463–20476 (2022). https://doi.org/10.1007/s00521-022-07106-7 |
Resumo(s): | The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following different strategic plans, playing special attention to wind generation. In this sense, the use of bicomponent materials in wind generator blades and housings is a widely spread procedure. However, the great complexity of the process followed to obtain this kind of materials hinders the problem of detecting anomalous situations in the plant, due to sensors or actuators malfunctions. This has a direct impact on the features of the final product, with the corresponding influence in the durability and wind generator performance. In this context, the present work proposes the use of a distributed anomaly detection system to identify the source of the wrong operation. With this aim, five different one-class techniques are considered to detect deviations in three plant components located in a bicomponent mixing machine installation: the flow meter, the pressure sensor and the pump speed. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/86271 |
DOI: | 10.1007/s00521-022-07106-7 |
ISSN: | 0941-0643 |
Versão da editora: | https://link.springer.com/article/10.1007/s00521-022-07106-7 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Articulo_33.pdf | 1,6 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons