Tool Wear Condition Monitoring by Combining Variational Mode Decomposition and Ensemble Learning.

Yuan, Jun; Liu, Libing; Yang, Zeqing; Zhang, Yanrui

Yuan, Jun; Liu, Libing; Yang, Zeqing; Zhang, Yanrui.

Afiliación

Yuan J; School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
Liu L; School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
Yang Z; School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
Zhang Y; Experimental Training, Hebei University of Technology, Tianjin 300401, China.

Sensors (Basel) ; 20(21)2020 Oct 27.

Article en En | MEDLINE | ID: mdl-33121086

Palabras clave

ensemble learning (EL); frequencydomain analysis; spindle motor current; timedomain analysis; tool wear condition monitoring; variational mode decomposition (VMD)

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

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