Quality Prediction and Abnormal Processing Parameter Identification in Polypropylene Fiber Melt Spinning Using Artificial Intelligence Machine Learning and Deep Learning Algorithms

Melt spinning machines must be set up according to the process parameters that result in the best end product quality. In this study, artificial intelligence algorithms were employed to create a system that detects abnormal processing parameters and suggests strategies to improve quality. Polypropyl...

Descripción completa

Detalles Bibliográficos
Autores principales: Gope, Amit Kumar, Liao, Yu-Shu, Kuo, Chung-Feng Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269265/
https://www.ncbi.nlm.nih.gov/pubmed/35808784
http://dx.doi.org/10.3390/polym14132739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269265/
https://www.ncbi.nlm.nih.gov/pubmed/35808784
http://dx.doi.org/10.3390/polym14132739

Ejemplares similares