In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD.

Liu, Bingchen; Xue, Hongtao; Ding, Dianyong; Sun, Ning; Chen, Peng

Liu, Bingchen; Xue, Hongtao; Ding, Dianyong; Sun, Ning; Chen, Peng.

Afiliação

Liu B; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Xue H; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Ding D; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Sun N; College of Automotive and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Chen P; Graduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu 514-8507, Japan.

Sensors (Basel) ; 23(8)2023 Apr 15.

Article em En | MEDLINE | ID: mdl-37112361

Palavras-chave

Weibull kernel function; affinity propagation minimum-distance discriminant; fault diagnosis; in-wheel motor; multi-class support vector data description; vibration signal

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

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