Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning

The early diagnosis of a motor is important. Many researchers have used deep learning to diagnose motor applications. This paper proposes a one-dimensional convolutional neural network for the diagnosis of permanent magnet synchronous motors. The one-dimensional convolutional neural network model is...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chiao-Sheng, Kao, I-Hsi, Perng, Jau-Woei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196902/
https://www.ncbi.nlm.nih.gov/pubmed/34067249
http://dx.doi.org/10.3390/s21113608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196902/
https://www.ncbi.nlm.nih.gov/pubmed/34067249
http://dx.doi.org/10.3390/s21113608

Ejemplares similares