A Bearing Fault Diagnosis Method Based on Wavelet Packet Transform and Convolutional Neural Network Optimized by Simulated Annealing Algorithm

Bearings are widely used in various electrical and mechanical equipment. As their core components, failures often have serious consequences. At present, most parameter adjustment methods are still manual adjustments of parameters. This adjustment method is easily affected by prior knowledge, easily...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Feng, Ye, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962982/
https://www.ncbi.nlm.nih.gov/pubmed/35214312
http://dx.doi.org/10.3390/s22041410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962982/
https://www.ncbi.nlm.nih.gov/pubmed/35214312
http://dx.doi.org/10.3390/s22041410

Ejemplares similares