A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation.

Li, Mengyang; Hei, Xinhong; Ji, Wenjiang; Zhu, Lei; Wang, Yichuan; Qiu, Yuan

Li, Mengyang; Hei, Xinhong; Ji, Wenjiang; Zhu, Lei; Wang, Yichuan; Qiu, Yuan.

Afiliação

Li M; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
Hei X; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
Ji W; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
Zhu L; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
Wang Y; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
Qiu Y; School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.

Sensors (Basel) ; 22(23)2022 Dec 02.

Article em En | MEDLINE | ID: mdl-36502142

Assuntos

Inteligência; Tecnologia; China; Meios de Transporte

Palavras-chave

data augmentation; fault diagnosis; improved autoencoder; railway turnout system; unbalanced datasets

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia / Inteligência Tipo de estudo: Diagnostic_studies / Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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