Error Fusion of Hybrid Neural Networks for Mechanical Condition Dynamic Prediction

It is important for equipment to operate safely and reliably so that the working state of mechanical parts pushes forward an immense influence. Therefore, in order to enhance the dependability and security of mechanical equipment, to accurately predict the changing trend of mechanical components in...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Wentao, Liu, Yucheng, Zhang, Shaohui, Long, Tuzhi, Liang, Jinglun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230754/
https://www.ncbi.nlm.nih.gov/pubmed/34208262
http://dx.doi.org/10.3390/s21124043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230754/
https://www.ncbi.nlm.nih.gov/pubmed/34208262
http://dx.doi.org/10.3390/s21124043

Ejemplares similares