Frobenius and nuclear hybrid norm penalized robust principal component analysis for transient impulsive feature detection of rolling bearings.

Yu, Kun; Ma, Hui; Zeng, Jin; Han, Hongzheng; Li, Hongfei; Wen, Bangchun

Yu, Kun; Ma, Hui; Zeng, Jin; Han, Hongzheng; Li, Hongfei; Wen, Bangchun.

Afiliación

Yu K; School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: kunyu9198@126.com.
Ma H; School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110819, PR China; Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: mahui_2007@163.com
Zeng J; School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: zengjin2012me@163.com.
Han H; School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: fjfhiawtgh@126.com.
Li H; School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: lihongfei721@163.com.
Wen B; School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110819, PR China. Electronic address: bcwen1930@vip.sina.com.

ISA Trans ; 100: 373-386, 2020 May.

Article en En | MEDLINE | ID: mdl-31785767

Palabras clave

Fault diagnosis; Fault information matrix; LRM; RPCA; Transient impulsive feature

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: ISA Trans Año: 2020 Tipo del documento: Article

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