Fault Identification and Localization of a Time−Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks

To improve the accuracy of shallow neural networks in processing complex signals and cable fault diagnosis, and to overcome the shortage of manual dependency and cable fault feature extraction, a deep learning method is introduced, and a time−frequency domain joint impedance spectrum is proposed for...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Qingzhu, Li, Yimeng, Yuan, Runjiao, Meng, Qinghai, Li, Xiaoxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863884/
https://www.ncbi.nlm.nih.gov/pubmed/36679479
http://dx.doi.org/10.3390/s23020684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863884/
https://www.ncbi.nlm.nih.gov/pubmed/36679479
http://dx.doi.org/10.3390/s23020684

Ejemplares similares