Fault Detection and Isolation Methods in Subsea Observation Networks.

Xiao, Sa; Yao, Jiajie; Chen, Yanhu; Li, Dejun; Zhang, Feng; Wu, Yong

Xiao, Sa; Yao, Jiajie; Chen, Yanhu; Li, Dejun; Zhang, Feng; Wu, Yong.

Afiliación

Xiao S; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Yao J; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Chen Y; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Li D; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Zhang F; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Wu Y; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.

Sensors (Basel) ; 20(18)2020 Sep 15.

Article en En | MEDLINE | ID: mdl-32942675

Palabras clave

deep learning; fault detection; fault isolation; neural network; observation network

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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