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A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion.
Gong, Wenfeng; Chen, Hui; Zhang, Zehui; Zhang, Meiling; Wang, Ruihan; Guan, Cong; Wang, Qin.
Afiliación
  • Gong W; Key Laboratory of High-Performance Ship Technology of Ministry of Education in China, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China. wfgongcn@163.com.
  • Chen H; Beihai campus, Guilin University of Electronic and Technology, Beihai 536000, China. wfgongcn@163.com.
  • Zhang Z; Key Laboratory of High-Performance Ship Technology of Ministry of Education in China, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China. hchen@whut.edu.cn.
  • Zhang M; Key Laboratory of High-Performance Ship Technology of Ministry of Education in China, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China. zhangtianxia918@163.com.
  • Wang R; Beihai campus, Guilin University of Electronic and Technology, Beihai 536000, China. zhangmeilingcn@163.com.
  • Guan C; Key Laboratory of High-Performance Ship Technology of Ministry of Education in China, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China. rhan_wang@163.com.
  • Wang Q; Key Laboratory of High-Performance Ship Technology of Ministry of Education in China, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China. guancong2008@gmail.com.
Sensors (Basel) ; 19(7)2019 Apr 09.
Article en En | MEDLINE | ID: mdl-30970672
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza