A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures

Accidental failures of rotating machinery components such as rolling bearings may trigger the sudden breakdown of the whole manufacturing system, thus, fault diagnosis is vital in industry to avoid these massive economical costs and casualties. Since convolutional neural networks (CNN) are poor in e...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiong, Shoucong, Zhou, Hongdi, He, Shuai, Zhang, Leilei, Xia, Qi, Xuan, Jianping, Shi, Tielin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506762/
https://www.ncbi.nlm.nih.gov/pubmed/32887331
http://dx.doi.org/10.3390/s20174965

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506762/
https://www.ncbi.nlm.nih.gov/pubmed/32887331
http://dx.doi.org/10.3390/s20174965

Ejemplares similares