A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning.

Pu, Xiaobo; Jia, Lingxu; Shang, Kedong; Chen, Lei; Yang, Tingting; Chen, Liangwu; Gao, Libin; Qian, Linmao

Pu, Xiaobo; Jia, Lingxu; Shang, Kedong; Chen, Lei; Yang, Tingting; Chen, Liangwu; Gao, Libin; Qian, Linmao.

Afiliación

Pu X; Tribology Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China.
Jia L; China Railway Engineering Equipment Group Technical Service Co., Ltd., Zhengzhou 450000, China.
Shang K; Tribology Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China.
Chen L; Tribology Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China.
Yang T; Tribology Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China.
Chen L; Tribology Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China.
Gao L; China Railway Engineering Equipment Group Technical Service Co., Ltd., Zhengzhou 450000, China.
Qian L; China Railway Engineering Equipment Group Technical Service Co., Ltd., Zhengzhou 450000, China.

Sensors (Basel) ; 22(17)2022 Sep 04.

Article en En | MEDLINE | ID: mdl-36081145

Asunto(s)

Inteligencia Artificial; Vibración; Aprendizaje Automático; Percepción

Palabras clave

disc cutter; machine learning; status monitoring; vibration; wear

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vibración / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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