Single-Sensor Engine Multi-Type Fault Detection.

Tang, Daijie; Bi, Fengrong; Cheng, Jiangang; Yang, Xiao; Shen, Pengfei; Bi, Xiaoyang

Tang, Daijie; Bi, Fengrong; Cheng, Jiangang; Yang, Xiao; Shen, Pengfei; Bi, Xiaoyang.

Afiliação

Tang D; State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China.
Bi F; State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China.
Cheng J; State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China.
Yang X; State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China.
Shen P; State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China.
Bi X; State Key Laboratory of Reliability and Intelligence Electrical Equipment, Hebei University of Technology, Tianjin 300130, China.

Sensors (Basel) ; 23(3)2023 Feb 02.

Article em En | MEDLINE | ID: mdl-36772682

Palavras-chave

fault detection; random forest; single-sensor data; variational mode decomposition; vibration

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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