A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings.

Kang, Yuxiang; Chen, Guo; Wang, Hao; Pan, Wenping; Wei, Xunkai

Kang, Yuxiang; Chen, Guo; Wang, Hao; Pan, Wenping; Wei, Xunkai.

Afiliação

Kang Y; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Chen G; College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Wang H; Beijing Aeronautical Engineering Technical Research Center, Beijing 100076, China.
Pan W; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Wei X; Beijing Aeronautical Engineering Technical Research Center, Beijing 100076, China.

Sensors (Basel) ; 23(18)2023 Sep 21.

Article em En | MEDLINE | ID: mdl-37766068

Palavras-chave

CNN; dual-input deep anomaly detection; rolling bearing; unsupervised learning; zero fault samples

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

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