Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear

Early detection of faults in rotating machinery systems is crucial in preventing system failure, increasing safety, and reducing maintenance costs. Current methods of fault detection suffer from the lack of efficient feature extraction method, the need for designating a threshold producing minimal f...

Descripción completa

Detalles Bibliográficos
Autores principales: Suh, Sungho, Jang, Joel, Won, Seungjae, Jha, Mayank Shekhar, Lee, Yong Oh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602811/
https://www.ncbi.nlm.nih.gov/pubmed/33081097
http://dx.doi.org/10.3390/s20205846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602811/
https://www.ncbi.nlm.nih.gov/pubmed/33081097
http://dx.doi.org/10.3390/s20205846

Ejemplares similares