A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization.

Wang, Huaqing; Wang, Mengyang; Li, Junlin; Song, Liuyang; Hao, Yansong

Wang, Huaqing; Wang, Mengyang; Li, Junlin; Song, Liuyang; Hao, Yansong.

Afiliação

Wang H; College of Mechanical & Electrical Engineering, Beijing University of Chemical Technology, Chao Yang District, Beijing 100029, China.
Wang M; College of Mechanical & Electrical Engineering, Beijing University of Chemical Technology, Chao Yang District, Beijing 100029, China.
Li J; College of Mechanical & Electrical Engineering, Beijing University of Chemical Technology, Chao Yang District, Beijing 100029, China.
Song L; Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery, Beijing University of Chemical Technology, Beijing 100029, China.
Hao Y; College of Mechanical & Electrical Engineering, Beijing University of Chemical Technology, Chao Yang District, Beijing 100029, China.

Entropy (Basel) ; 21(5)2019 Apr 28.

Article em En | MEDLINE | ID: mdl-33267159

Palavras-chave

Sparse non-negative matrix factorization; compound faults diagnosis; timefrequency distribution; underdetermined blind source separation

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article